Björn W. Schuller

发表

Prediction-based learning for continuous emotion recognition in speech

Fabien Ringeval, Björn W. Schuller, Jing Han, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings pdf

Björn W. Schuller, Jing Han, Gil Keren, 2018, ArXiv.

Does my speech rock? automatic assessment of public speaking skills

Eduardo Coutinho, Björn W. Schuller, Lucas Azaïs, 2015, INTERSPEECH.

Real-Time Activity Detection in a Multi-Talker Reverberated Environment

Björn W. Schuller, Stefano Squartini, Florian Eyben, 2012, Cognitive Computation.

Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling

Björn W. Schuller, Angeliki Metallinou, Shrikanth S. Narayanan, 2010, INTERSPEECH.

Emotion recognition from speech: Putting ASR in the loop

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech emotion recognition

Björn W. Schuller, Björn Schuller, 2018, Commun. ACM.

SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives

Björn W. Schuller, Erik Cambria, Soujanya Poria, 2016, COLING.

AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2013, AVEC@ACM Multimedia.

Bird sounds classification by large scale acoustic features and extreme learning machine

Fabien Ringeval, Björn W. Schuller, Kun Qian, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Summary for AVEC 2018: Bipolar Disorder and Cross-Cultural Affect Recognition

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2018, ACM Multimedia.

Computational Assessment of Interest in Speech—Facing the Real-Life Challenge

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2011, KI - Künstliche Intelligenz.

Video based online behavior detection using probabilistic multi stream fusion

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2005, ICIP.

Mensch, Maschine, Emotion: Erkennung aus sprachlicher und manueller Interaktion

Björn W. Schuller, Björn Schuller, 2007 .

Driver Frustration Detection from Audio and Video in the Wild

Daniel McDuff, Erik Marchi, Björn W. Schuller, 2016, IJCAI.

iHEARu-PLAY: Introducing a game for crowdsourced data collection for affective computing

Björn W. Schuller, Florian Eyben, Simone Hantke, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2006, 2006 IEEE International Conference on Multimedia and Expo.

The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches

Björn W. Schuller, Jarek Krajewski, Anton Batliner, 2012, IEEE Transactions on Affective Computing.

Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task

Björn W. Schuller, Kun Qian, Tomoya Koike, 2020, INTERSPEECH.

Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks

Björn W. Schuller, Nicholas Cummins, Shahin Amiriparian, 2018, INTERSPEECH.

Patterns, prototypes, performance: classifying emotional user states

Björn W. Schuller, Johannes Wagner, Vered Aharonson, 2008, INTERSPEECH.

Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One's Words

Björn W. Schuller, Björn Schuller, 2017, CICLing.

Noise robust ASR in reverberated multisource environments applying convolutive NMF and Long Short-Term Memory

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2013, Comput. Speech Lang..

Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability pdf

Björn W. Schuller, Simone Hantke, Alice Baird, 2019, ArXiv.

Incremental acoustic valence recognition: an inter-corpus perspective on features, matching, and performance in a gating paradigm

Björn W. Schuller, Laurence Devillers, Björn Schuller, 2010, INTERSPEECH.

A Deep Learning Approach for Location Independent Throughput Prediction

Björn W. Schuller, Josef Schmid, Mathias Schneider, 2019, 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE).

Cross-Domain Classification of Drowsiness in Speech: The Case of Alcohol Intoxication and Sleep Deprivation

Björn W. Schuller, Yue Zhang, Felix Weninger, 2017, INTERSPEECH.

Dominance Detection in a Reverberated Acoustic Scenario

Björn W. Schuller, Stefano Squartini, Martin Wöllmer, 2012, ISNN.

Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents

Erik Marchi, Björn W. Schuller, Stefano Squartini, 2011, ISNN.

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2016, INTERSPEECH.

Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2012, ITG Conference on Speech Communication.

Sparse, Hierarchical and Semi-Supervised Base Learning for Monaural Enhancement of Conversational Speech

Björn W. Schuller, Martin Wöllmer, Felix Weninger, 2012, ITG Conference on Speech Communication.

Ten Recent Trends in Computational Paralinguistics

Björn W. Schuller, Felix Weninger, Björn Schuller, 2011, COST 2102 Training School.

On-line continuous-time music mood regression with deep recurrent neural networks

Björn W. Schuller, Florian Eyben, Felix Weninger, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Influence of Phonetic Content Variation for Acoustic Emotion Recognition

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2008, PIT.

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, AIME.

From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty

Björn W. Schuller, Maja Pantic, Jing Han, 2017, ACM Multimedia.

Discriminatively trained recurrent neural networks for single-channel speech separation

Björn W. Schuller, Jonathan Le Roux, John R. Hershey, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Introduction to the special issue on Paralinguistics in Naturalistic Speech and Language

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2013, Comput. Speech Lang..

Semisupervised Autoencoders for Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Jun Deng, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Emotion on the Road - Necessity, Acceptance, and Feasibility of Affective Computing in the Car

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, Adv. Hum. Comput. Interact..

Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario

Björn W. Schuller, Stefano Squartini, Emanuele Principi, 2011, ICIC.

Audio onset detection: A wavelet packet based approach with recurrent neural networks

Erik Marchi, Björn W. Schuller, Stefano Squartini, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Introducing CURRENNT: the munich open-source CUDA recurrent neural network toolkit

Björn W. Schuller, Felix Weninger, Johannes Bergmann, 2015, J. Mach. Learn. Res..

Does affect affect automatic recognition of children2s speech?

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2008, WOCCI.

Affect recognition in real-life acoustic conditions - a new perspective on feature selection

Björn W. Schuller, Florian Eyben, Felix Weninger, 2013, INTERSPEECH.

Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech

Björn W. Schuller, Zixing Zhang, Jun Deng, 2016, ICMI.

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition

Björn W. Schuller, Zhao Ren, Heidi Christensen, 2020, INTERSPEECH.

A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

Elmar Nöth, Björn W. Schuller, Florian Eyben, 2015, Comput. Speech Lang..

Editorial: Transactions on Affective Computing-Good Reasons for Joy and Excitement

Björn W. Schuller, 2018, IEEE Trans. Affect. Comput..

Learning New Acoustic Events in an HMM-Based System Using MAP Adaptation

Björn W. Schuller, Gerhard Rigoll, Jürgen T. Geiger, 2011, INTERSPEECH.

MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild

Yiannis Kompatsiaris, Björn W. Schuller, Erik Cambria, 2020, MuSe @ ACM Multimedia.

Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments

Björn W. Schuller, Amr El-Desoky Mousa, Björn Schuller, 2016, INTERSPEECH.

Data-driven clustering in emotional space for affect recognition using discriminatively trained LSTM networks

Björn W. Schuller, Roddy Cowie, Florian Eyben, 2009, INTERSPEECH.

A new technique for adjusting distraction moments in multitasking non-field usability tests

Björn W. Schuller, Frank Althoff, Gregor McGlaun, 2002, CHI Extended Abstracts.

Acquisition of Affect

Björn W. Schuller, Björn Schuller, 2017, Emotions and Personality in Personalized Services.

Co-training succeeds in Computational Paralinguistics

Björn W. Schuller, Zixing Zhang, Jun Deng, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Applying multi layer homography for multi camera person tracking

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Combining frame and turn-level information for robust recognition of emotions within speech

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2007, INTERSPEECH.

Segmentation and Recognition of Meeting Events using a Two-Layered HMM and a Combined MLP-HMM Approach

Björn W. Schuller, Gerhard Rigoll, Stephan Reiter, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Real-Time Tracking of Speakers' Emotions, States, and Traits on Mobile Platforms

Erik Marchi, Björn W. Schuller, Gerhard Hagerer, 2016, INTERSPEECH.

Recognising Guitar Effects - Which Acoustic Features Really Matter?

Björn W. Schuller, Maximilian Schmitt, Björn Schuller, 2017, GI-Jahrestagung.

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge

Björn W. Schuller, Zhao Ren, Jing Han, 2016, CCPR.

Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World

Björn W. Schuller, Zixing Zhang, Simone Hantke, 2017, INTERSPEECH.

Introduction

Björn W. Schuller, Anton Batliner, Alessandro Vinciarelli, 2015, Comput. Speech Lang..

Automatic Guitar String Detection by String-Inverse Frequency Estimation

Björn W. Schuller, Maximilian Schmitt, Tobias Geib, 2017, GI-Jahrestagung.

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks

Björn W. Schuller, Harald Baumeister, Anton Batliner, 2020, INTERSPEECH.

Dynamic Active Learning Based on Agreement and Applied to Emotion Recognition in Spoken Interactions

Eduardo Coutinho, Björn W. Schuller, Zixing Zhang, 2015, ICMI.

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep neural networks for anger detection from real life speech data

Björn W. Schuller, Florian Eyben, Jun Deng, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Emotion in the singing voice—a deeperlook at acoustic features in the light ofautomatic classification

Björn W. Schuller, Johan Sundberg, Florian Eyben, 2015, EURASIP J. Audio Speech Music. Process..

Modelling User Affect and Sentiment in Intelligent User Interfaces: A Tutorial Overview

Björn W. Schuller, Björn Schuller, 2015, IUI.

Confidence Measures for Speech Emotion Recognition: A Start

Björn W. Schuller, Jun Deng, Wenjing Han, 2012, ITG Conference on Speech Communication.

Enhancing Spontaneous Speech Recognition with BLSTM Features

Björn W. Schuller, Martin Wöllmer, 2011, NOLISP.

Recognition of Nonprototypical Emotions in Reverberated and Noisy Speech by Nonnegative Matrix Factorization

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2011, EURASIP J. Adv. Signal Process..

Audio watermarking based on empirical mode decomposition and beat detection

Björn W. Schuller, Marius Telespan, Björn Schuller, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A novel bottleneck-BLSTM front-end for feature-level context modeling in conversational speech recognition

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification

Björn W. Schuller, Athanasios Katsamanis, Angeliki Metallinou, 2012, IEEE Trans. Affect. Comput..

Single-channel speech separation with memory-enhanced recurrent neural networks

Björn W. Schuller, Florian Eyben, Felix Weninger, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

“The Godfather” vs. “Chaos”: Comparing Linguistic Analysis Based on On-line Knowledge Sources and Bags-of-N-Grams for Movie Review Valence Estimation

Björn W. Schuller, Gerhard Rigoll, Joachim Schenk, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Snoring classified: The Munich-Passau Snore Sound Corpus

Björn W. Schuller, Kun Qian, Zixing Zhang, 2018, Comput. Biol. Medicine.

AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2015, ACM Multimedia.

Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario

Björn W. Schuller, Martin Wöllmer, Anton Batliner, 2011, TSLP.

6. Corpus Engineering

Björn W. Schuller, Anton Batliner, Björn Schuller, 2013 .

Multimodal emotion recognition in audiovisual communication

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

A real-time system for hand gesture controlled operation of in-car devices

Björn W. Schuller, Gerhard Rigoll, Michael Geiger, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

The state of play of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions pdf

Erik Marchi, Björn W. Schuller, Ian Davies, 2014, IUI 2014.

Feature Frame Stacking in RNN-Based Tandem ASR Systems - Learned vs. Predefined Context

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2011, INTERSPEECH.

Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis

Björn W. Schuller, Amr El-Desoky Mousa, Björn Schuller, 2017, EACL.

Non-negative matrix factorization for highly noise-robust ASR: To enhance or to recognize?

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis

Björn W. Schuller, Simone Hantke, Christoph Stemp, 2018, INTERSPEECH.

Multi-task deep neural network with shared hidden layers: Breaking down the wall between emotion representations

Björn W. Schuller, Yue Zhang, Felix Weninger, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning and Knowledge-Based Sentiment Analysis in Movie Review Key Excerpts

Björn W. Schuller, Tobias Knaup, Björn Schuller, 2010, COST 2102 Training School.

Cognitive and Emotional Information Processing for Human–Machine Interaction

Björn W. Schuller, Stefano Squartini, Amir Hussain, 2012, Cognitive Computation.

Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks

Stefanos Zafeiriou, Björn W. Schuller, Maja Pantic, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Influence of Alcohol Intoxication on Speaker Recognition

Björn W. Schuller, Gerhard Rigoll, Jürgen T. Geiger, 2014, Semantic Audio.

Active learning for dimensional speech emotion recognition

Björn W. Schuller, Haifeng Li, Lin Ma, 2013, INTERSPEECH.

Non-negative matrix factorization as noise-robust feature extractor for speech recognition

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech

Björn W. Schuller, Isabel Trancoso, Tanja Schultz, 2020, INTERSPEECH.

Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition

Erik Marchi, Björn W. Schuller, Zixing Zhang, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Automatic multi-lingual arousal detection from voice applied to real product testing applications

Björn W. Schuller, Gerhard Hagerer, Florian Eyben, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

New Avenues in Opinion Mining and Sentiment Analysis

Björn W. Schuller, Erik Cambria, Yunqing Xia, 2013, IEEE Intelligent Systems.

Analyzing the memory of BLSTM Neural Networks for enhanced emotion classification in dyadic spoken interactions

Björn W. Schuller, Athanasios Katsamanis, Angeliki Metallinou, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2009, Neurocomputing.

Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework

Björn W. Schuller, Alex Graves, Florian Eyben, 2010, Cognitive Computation.

Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations

Fabien Ringeval, Björn W. Schuller, Kun Qian, 2017, DH.

Stream fusion for multi-stream automatic speech recognition

Björn W. Schuller, Ricardo Chavarriaga, José del R. Millán, 2016, Int. J. Speech Technol..

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis

Björn W. Schuller, Nicholas Cummins, Shahin Amiriparian, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ASMMC-MMAC 2018: The Joint Workshop of 4th the Workshop on Affective Social Multimedia Computing and first Multi-Modal Affective Computing of Large-Scale Multimedia Data Workshop

Qingming Huang, Björn W. Schuller, Lei Xie, 2018, ACM Multimedia.

Voice command generation using Progressive Wavegans pdf

Björn W. Schuller, Nicholas Cummins, Simone Hantke, 2019, ArXiv.

Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective

Björn W. Schuller, Maja Pantic, Maximilian Schmitt, 2017, INTERSPEECH.

A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification

Björn W. Schuller, Nicholas Cummins, Michael Freitag, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Keynote Lecture 1: NLP in Tomorrow’s Profiling - Words May Fail You

Björn W. Schuller, Björn Schuller, 2017, ICON.

Boosting multi-modal camera selection with semantic features

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection

Erik Marchi, Björn W. Schuller, Stefano Squartini, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

audEERING's approach to the One-Minute-Gradual Emotion Challenge pdf

Björn W. Schuller, Florian Eyben, Hesam Sagha, 2018, ArXiv.

Sentiment analysis using image-based deep spectrum features

Björn W. Schuller, Nicholas Cummins, Shahin Amiriparian, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Jun Deng, 2016, IEEE Access.

Towards distributed recognition of emotion from speech

Björn W. Schuller, Zixing Zhang, Martin Wöllmer, 2012, 2012 5th International Symposium on Communications, Control and Signal Processing.

Detection of negative emotions in speech signals using bags-of-audio-words

Björn W. Schuller, Franz Pernkopf, Franz Graf, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2015, AVEC@ACM Multimedia.

Recognition of interest in human conversational speech

Björn W. Schuller, Gerhard Rigoll, Niels Köhler, 2006, INTERSPEECH.

Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks

Björn W. Schuller, Alex Graves, Florian Eyben, 2010, ISMIR.

Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

Björn W. Schuller, Stefano Squartini, Florian Eyben, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust Laughter Detection for Wearable Wellbeing Sensing

Björn W. Schuller, Gerhard Hagerer, Florian Eyben, 2018, DH.

Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote

Björn W. Schuller, Tim Polzehl, Florian Metze, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Whodunnit - Searching for the most important feature types signalling emotion-related user states in speech

Loïc Kessous, Björn W. Schuller, Johannes Wagner, 2011, Comput. Speech Lang..

Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Big Data, Deep Learning - At the Edge of X-Ray Speaker Analysis

Björn W. Schuller, 2017, SPECOM.

The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits

Björn W. Schuller, Gerhard Rigoll, Martin Hofmann, 2014, J. Vis. Commun. Image Represent..

Long short-term memory networks for noise robust speech recognition

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, INTERSPEECH.

Improving generalisation and robustness of acoustic affect recognition

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2012, ICMI '12.

Editorial: Transactions on Affective Computing - Changes and Continuance

Björn W. Schuller, 2016, IEEE Trans. Affect. Comput..

9. Linguistic Features

Björn W. Schuller, Anton Batliner, Björn Schuller, 2013 .

The TUM Approach to the MediaEval Music Emotion Task Using Generic Affective Audio Features

Björn W. Schuller, Florian Eyben, Felix Weninger, 2013, MediaEval.

Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2005, 2005 IEEE International Conference on Multimedia and Expo.

The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language

Eduardo Coutinho, Björn W. Schuller, Julia Hirschberg, 2016, INTERSPEECH.

“You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection

Björn W. Schuller, Nicholas Cummins, Jarek Krajewski, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The SEILS Dataset: Symbolically Encoded Scores in Modern-Early Notation for Computational Musicology

Björn W. Schuller, Anton Batliner, Alice Baird, 2017, ISMIR.

A multi-stream ASR framework for BLSTM modeling of conversational speech

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Learning for Environmentally Robust Speech Recognition

Björn W. Schuller, Zixing Zhang, Jouni Pohjalainen, 2017, ACM Trans. Intell. Syst. Technol..

A discriminative approach to polyphonic piano note transcription using supervised non-negative matrix factorization

Björn W. Schuller, Hans-Joachim Bungartz, Felix Weninger, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective

Björn W. Schuller, Zhao Ren, Yue Zhang, 2016, INTERSPEECH.

3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, MPVA '10.

Affective neural networks and cognitive learning systems for big data analysis

Björn W. Schuller, Erik Cambria, Amir Hussain, 2014, Neural Networks.

A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment

Fabien Ringeval, Björn W. Schuller, Arianna Mencattini, 2018, Speech Commun..

A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems pdf

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2014, ArXiv.

The hinterland of emotions: Facing the open-microphone challenge

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

Emotion in the speech of children with autism spectrum conditions: prosody and everything else

Erik Marchi, Björn W. Schuller, Anton Batliner, 2012, WOCCI.

Cooperative Learning and its Application to Emotion Recognition from Speech

Eduardo Coutinho, Björn W. Schuller, Zixing Zhang, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

CINEMO - A French Spoken Language Resource for Complex Emotions: Facts and Baselines

Björn W. Schuller, Laurence Devillers, Riccardo Zaccarelli, 2010, LREC.

Social signal classification using deep blstm recurrent neural networks

Björn W. Schuller, Raymond Brueckner, Björn Schuller, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Humans Inside: Cooperative Big Multimedia Data Mining

Björn W. Schuller, Vedhas Pandit, Simone Hantke, 2019, Innovations in Big Data Mining and Embedded Knowledge.

A Combined LSTM-RNN - HMM - Approach for Meeting Event Segmentation and Recognition

Björn W. Schuller, Gerhard Rigoll, Stephan Reiter, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Towards intoxicated speech recognition

Björn W. Schuller, Jing Han, Zixing Zhang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Multimodal multimodel emotion analysis as linked data

J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Paul Buitelaar, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

ERM4HCI 2014: The 2nd Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems

Björn W. Schuller, Kim Hartmann, Ronald Böck, 2014, ICMI.

Static and Dynamic Modelling for the Recognition of Non-verbal Vocalisations in Conversational Speech

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2008, PIT.

The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production

Björn W. Schuller, Florian Eyben, Felix Friedmann, 2014, LREC.

Musical Signal Type Discrimination based on Large Open Feature Sets

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations

Björn W. Schuller, Felix Weninger, Björn Schuller, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing

Björn W. Schuller, Alice Baird, Meishu Song, 2020, HCI.

Hierarchical neural networks and enhanced class posteriors for social signal classification

Björn W. Schuller, Raymond Brueckner, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Wavelet features for classification of vote snore sounds

Björn W. Schuller, Kun Qian, Zixing Zhang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Knowledge-Based Approaches to Concept-Level Sentiment Analysis

Björn W. Schuller, Haixun Wang, Erik Cambria, 2013, IEEE Intell. Syst..

Speech control in surgery: A field analysis and strategies

Björn W. Schuller, Martin Wöllmer, Hubertus Feußner, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Snore Sound Classification Using Image-Based Deep Spectrum Features

Björn W. Schuller, Nicholas Cummins, Michael Freitag, 2017, INTERSPEECH.

Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Age of Artificial Emotional Intelligence

Björn W. Schuller, Dagmar Schuller, Dagmar M. Schuller, 2018, Computer.

The First Audio/Visual Emotion Challenge and Workshop - An Introduction

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2011, ACII.

An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification

Björn W. Schuller, Nicholas Cummins, Michael Freitag, 2017, INTERSPEECH.

Emotion-augmented machine learning: Overview of an emerging domain

Björn W. Schuller, Yue Zhang, Harald Stromfelt, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Introducing an Emotion-Driven Assistance System for Cognitively Impaired Individuals

Björn W. Schuller, Heidi Schelhowe, Simone Hantke, 2018, ICCHP.

GPU-based fast signal processing for large amounts of snore sound data

Satoshi Matsuoka, Björn W. Schuller, Jian Guo, 2016, 2016 IEEE 5th Global Conference on Consumer Electronics.

The INTERSPEECH 2010 paralinguistic challenge

Björn W. Schuller, Christian A. Müller, Shrikanth S. Narayanan, 2010, INTERSPEECH.

Speech-Based Non-Prototypical Affect Recognition for Child-Robot Interaction in Reverberated Environments

Björn W. Schuller, Martin Wöllmer, Anton Batliner, 2011, INTERSPEECH.

Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances

Björn W. Schuller, Johannes Dorfner, Gerhard Rigoll, 2010, EURASIP J. Audio Speech Music. Process..

AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, AVEC@ACM Multimedia.

A Walkthrough for the Principle of Logit Separation

Björn W. Schuller, Gil Keren, Sivan Sabato, 2019, IJCAI.

Emotion recognition in the manual interaction with graphical user interfaces

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, INTERSPEECH.

Keyword spotting exploiting Long Short-Term Memory

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2013, Speech Commun..

Confidence Measures in Speech Emotion Recognition Based on Semi-supervised Learning

Björn W. Schuller, Jun Deng, Björn Schuller, 2012, INTERSPEECH.

Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification

Björn W. Schuller, Athanasios Katsamanis, Angeliki Metallinou, 2012, IEEE Transactions on Affective Computing.

DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation pdf

Björn W. Schuller, Maja Pantic, Ognjen Rudovic, 2017, ArXiv.

A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation

Björn W. Schuller, Kun Qian, Werner Hemmert, 2016, ITG Symposium on Speech Communication.

Discrimination of Linguistic and Non-Linguistic Vocalizations in Spontaneous Speech: Intra- and Inter-Corpus Perspectives

Björn W. Schuller, Felix Weninger, 2012, INTERSPEECH.

The ICSTM+TUM+UP Approach to the 3rd CHIME Challenge: Single-Channel LSTM Speech Enhancement with Multi-Channel Correlation Shaping Dereverberation and LSTM Language Models pdf

Erik Marchi, Björn W. Schuller, Amr El-Desoky Mousa, 2015, ArXiv.

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis

Björn W. Schuller, Kun Qian, Zixing Zhang, 2017, IEEE Transactions on Biomedical Engineering.

Semi-autonomous data enrichment based on cross-task labelling of missing targets for holistic speech analysis

Björn W. Schuller, Yuxiang Zhou, Yue Zhang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2010, Adv. Hum. Comput. Interact..

Deep Structured Learning for Facial Action Unit Intensity Estimation

Vladimir Pavlovic, Björn W. Schuller, Maja Pantic, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The INTERSPEECH 2009 emotion challenge

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2009, INTERSPEECH.

Cross-language acoustic emotion recognition: An overview and some tendencies

Björn W. Schuller, Dagmar Schuller, Silvia Monica Feraru, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Categorical vs Dimensional Perception of Italian Emotional Speech

Björn W. Schuller, Giovanni Costantini, Anton Batliner, 2018, INTERSPEECH.

Exploring Nonnegative Matrix Factorization for Audio Classification: Application to Speaker Recognition

Björn W. Schuller, Cyril Joder, Björn Schuller, 2012, ITG Conference on Speech Communication.

Optimization and Parallelization of Monaural Source Separation Algorithms in the openBliSSART Toolkit

Björn W. Schuller, Felix Weninger, Björn Schuller, 2012, J. Signal Process. Syst..

Probabilistic speech feature extraction with context-sensitive Bottleneck neural networks

Björn W. Schuller, Martin Wöllmer, Björn Schuller, 2014, Neurocomputing.

Discrimination of speech and non-linguistic vocalizations by Non-Negative Matrix Factorization

Björn W. Schuller, Felix Weninger, Björn Schuller, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms

Björn W. Schuller, Gil Keren, Nicholas Cummins, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech

Fabien Ringeval, Björn W. Schuller, Zhao Ren, 2018, INTERSPEECH.

Tunable Sensitivity to Large Errors in Neural Network Training pdf

Björn W. Schuller, Gil Keren, Sivan Sabato, 2017, AAAI.

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Björn W. Schuller, Björn Schuller, 2005 .

Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2008, DAGM-Symposium.

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks

Erik Marchi, Björn W. Schuller, Stefano Squartini, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convolutional RNN: An enhanced model for extracting features from sequential data

Björn W. Schuller, Gil Keren, Björn Schuller, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Analysing communication requirements for crowd sourced backend generation of HD Maps used in automated driving

Björn W. Schuller, Ralf Steinmetz, Alfred Höß, 2018, 2018 IEEE Vehicular Networking Conference (VNC).

OpenBliSSART: Design and evaluation of a research toolkit for Blind Source Separation in Audio Recognition Tasks

Björn W. Schuller, Felix Weninger, Alexander Lehmann, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recognition of spontaneous conversational speech using long short-term memory phoneme predictions

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, INTERSPEECH.

The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

Fabio Valente, Fabien Ringeval, Erik Marchi, 2013, INTERSPEECH.

Three recent trends in Paralinguistics on the way to omniscient machine intelligence

Björn W. Schuller, Yue Zhang, Felix Weninger, 2018, Journal on Multimodal User Interfaces.

Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications pdf

Björn W. Schuller, Lukas Stappen, Stefan Müller, 2020, ArXiv.

Learning Image-based Representations for Heart Sound Classification

Björn W. Schuller, Kun Qian, Zhao Ren, 2018, DH.

Audiovisual recognition of spontaneous interest within conversations

Björn W. Schuller, Gerhard Rigoll, Benedikt Hörnler, 2007, ICMI '07.

Transfer learning emotion manifestation across music and speech

Eduardo Coutinho, Björn W. Schuller, Jun Deng, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach

Björn W. Schuller, Kun Qian, Zhao Ren, 2019, ISICDM.

The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation

Björn W. Schuller, Nicholas Cummins, Anton Batliner, 2017, DLfM.

AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2014, AVEC '14.

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2017, INTERSPEECH.

MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis

J. Fernando Sánchez-Rada, Paul Buitelaar, Björn W. Schuller, 2018, IEEE Transactions on Multimedia.

What Should a Generic Emotion Markup Language Be Able to Represent?

Björn W. Schuller, Kostas Karpouzis, Catherine Pelachaud, 2007, ACII.

Deep End-to-End Representation Learning for Food Type Recognition from Speech

Björn W. Schuller, Nicholas Cummins, Abdulkadir Sengür, 2018, ICMI.

The INTERSPEECH 2012 Speaker Trait Challenge

Elmar Nöth, Björn W. Schuller, Florian Eyben, 2012, INTERSPEECH.

String-based audiovisual fusion of behavioural events for the assessment of dimensional affect

Björn W. Schuller, Hatice Gunes, Maja Pantic, 2011, Face and Gesture 2011.

On rater reliability and agreement based dynamic active learning

Eduardo Coutinho, Björn W. Schuller, Zixing Zhang, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

MAPTRAITS 2014 - The First Audio/Visual Mapping Personality Traits Challenge - An Introduction: Perceived Personality and Social Dimensions

Björn W. Schuller, Hatice Gunes, Florian Eyben, 2014, ICMI.

A demonstration of audiovisual sensitive artificial listeners

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks

Björn W. Schuller, Alex Graves, Florian Eyben, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Recognition of Noisy Speech: A Comparative Survey of Robust Model Architecture and Feature Enhancement

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2009, EURASIP J. Audio Speech Music. Process..

Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization

Björn W. Schuller, Florian Eyben, David Virette, 2012, LVA/ICA.

Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling

Björn W. Schuller, Zixing Zhang, Gerhard Rigoll, 2014, INTERSPEECH.

Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets

Elmar Nöth, Eduardo Coutinho, Björn W. Schuller, 2016, LREC.

Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion

Fabien Ringeval, Björn W. Schuller, Florian Eyben, 2014, ICMI.

Towards More Reality in the Recognition of Emotional Speech

Björn W. Schuller, Andreas K. Maier, Anton Batliner, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

Guoying Zhao, Stefanos Zafeiriou, Björn W. Schuller, 2018, International Journal of Computer Vision.

Computational Audio Analysis (Dagstuhl Seminar 13451)

Björn W. Schuller, Shrikanth S. Narayanan, Meinard Müller, 2013, Dagstuhl Reports.

Speech overlap detection using convolutive non-negative sparse coding: New improvements and insights

Björn W. Schuller, Nicholas W. D. Evans, Gerhard Rigoll, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit

Björn W. Schuller, Maximilian Schmitt, Björn Schuller, 2016, J. Mach. Learn. Res..

The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech

Björn W. Schuller, Simone Hantke, Alice Baird, 2018, INTERSPEECH.

End2You - The Imperial Toolkit for Multimodal Profiling by End-to-End Learning pdf

Stefanos Zafeiriou, Björn W. Schuller, Panagiotis Tzirakis, 2018, ArXiv.

Fine-tuning HMMS for nonverbal vocalizations in spontaneous speech: A multicorpus perspective

Björn W. Schuller, Andreas Wendemuth, Dmytro Prylipko, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Intelligent user interfaces in digital games for empowerment and inclusion

Erik Marchi, Björn W. Schuller, Lucas Paletta, 2015, Advances in Computer Entertainment.

A multitask approach to continuous five-dimensional affect sensing in natural speech

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2012, TIIS.

Recognizing Affect from Linguistic Information in 3D Continuous Space

Björn W. Schuller, Björn Schuller, 2011, IEEE Transactions on Affective Computing.

The TUM Cumulative DTW Approach for the Mediaeval 2012 Spoken Web Search Task

Björn W. Schuller, Martin Wöllmer, Cyril Joder, 2012 .

The Native Language Sub-Challenge: The Data

Eduardo Coutinho, Björn W. Schuller, Julia Hirschberg, 2016, INTERSPEECH.

Synthesized speech for model training in cross-corpus recognition of human emotion

Björn W. Schuller, Zixing Zhang, Felix Weninger, 2012, International Journal of Speech Technology.

Spoken term detection with Connectionist Temporal Classification: A novel hybrid CTC-DBN decoder

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Investigating NMF speech enhancement for neural network based acoustic models

Björn W. Schuller, Gerhard Rigoll, Jürgen T. Geiger, 2014, INTERSPEECH.

Recent developments in openSMILE, the munich open-source multimedia feature extractor

Björn W. Schuller, Florian Eyben, Felix Weninger, 2013, ACM Multimedia.

Route and Stopping Intent Prediction at Intersections From Car Fleet Data

Björn W. Schuller, Felix Klanner, Felix Weninger, 2016, IEEE Transactions on Intelligent Vehicles.

The voice of COVID-19: Acoustic correlates of infection in sustained vowelsa) pdf

Björn W. Schuller, Florian Eyben, Anton Batliner, 2020, The Journal of the Acoustical Society of America.

Low-Level Fusion of Audio, Video Feature for Multi-Modal Emotion Recognition

Björn W. Schuller, Bernd Radig, Gerhard Rigoll, 2008, VISAPP.

An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels

Björn W. Schuller, Sebastian Schnieder, Jarek Krajewski, 2020, INTERSPEECH.

Active Learning by Sparse Instance Tracking and Classifier Confidence in Acoustic Emotion Recognition

Björn W. Schuller, Zixing Zhang, 2012, INTERSPEECH.

A Novel Graphical Technique for Combinational Logic Representation and Optimization

Björn W. Schuller, Vedhas Pandit, Björn Schuller, 2017, Complex..

Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

Jean-Philippe Thiran, Touradj Ebrahimi, Fabien Ringeval, 2015, Pattern Recognit. Lett..

On Many-to-Many Mapping Between Concordance Correlation Coefficient and Mean Square Error pdf

Björn W. Schuller, Vedhas Pandit, Björn Schuller, 2019, ArXiv.

A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms

Björn W. Schuller, David Virette, Cyril Joder, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatically Estimating Emotion in Music with Deep Long-Short Term Memory Recurrent Neural Networks

George Trigeorgis, Eduardo Coutinho, Stefanos Zafeiriou, 2015, MediaEval.

Detecting Road Surface Wetness from Audio: A Deep Learning Approach

Erik Marchi, Björn W. Schuller, Alex Fridman, 2015, 2016 23rd International Conference on Pattern Recognition (ICPR).

Hybrid Network Feature Extraction for Depression Assessment from Speech

Björn W. Schuller, Jianhua Tao, Haishuai Wang, 2020, INTERSPEECH.

How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives

Björn W. Schuller, Harald Baumeister, Nicholas Cummins, 2018, INTERSPEECH.

Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children's Voices

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2016, ITG Symposium on Speech Communication.

Influence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classification

Marcin Michalak, Björn W. Schuller, Bozena Kostek, 2013, ICMMI.

Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure

Eduardo Coutinho, Björn W. Schuller, Romain Sabathe, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II

Arthur C. Graesser, Björn W. Schuller, Sidney K. D'Mello, 2011 .

Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2019, Comput. Speech Lang..

Deep Wavelets for Heart Sound Classification

Björn W. Schuller, Kun Qian, Zhao Ren, 2019, 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

Deep Attentive End-to-End Continuous Breath Sensing from Speech

Björn W. Schuller, Anton Batliner, Shahin Amiriparian, 2020, INTERSPEECH.

End-to-end learning for dimensional emotion recognition from physiological signals

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals

Björn W. Schuller, Maja Pantic, Jing Han, 2021, Future Gener. Comput. Syst..

Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition

Björn W. Schuller, Nicholas Cummins, Alice Baird, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

Towards Speech Robustness for Acoustic Scene Classification

Björn W. Schuller, Zhao Ren, Shuo Liu, 2020, INTERSPEECH.

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder

Björn W. Schuller, Toru Nakamura, Yoshiharu Yamamoto, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Cnn-Gru Approach to Capture Time-Frequency Pattern Interdependence for Snore Sound Classification

Jianhong Wang, Björn W. Schuller, Harald Stromfelt, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Neural Networks and Learning Systems Come Together

Jian Yang, Patricia Melin, Xuelong Li, 2012, IEEE Trans. Neural Networks Learn. Syst..

On-Line NMF-Based Stereo Up-Mixing of Speech Improves Perceived Reduction of Non-Stationary Noise

Björn W. Schuller, Peter Grosche, Cyril Joder, 2014, Semantic Audio.

Speaker trait characterization in web videos: Uniting speech, language, and facial features

Björn W. Schuller, Martin Wöllmer, Louis-Philippe Morency, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Mohammad Soleymani, Fabien Ringeval, Björn W. Schuller, 2019, AVEC@MM.

Audio chord labeling by musiological modeling and beat-synchronization

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2009, 2009 IEEE International Conference on Multimedia and Expo.

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition

Björn W. Schuller, Jun Deng, Hesam Sagha, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Reconstruction-error-based learning for continuous emotion recognition in speech

Fabien Ringeval, Björn W. Schuller, Jing Han, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification

LinLin Shen, Björn W. Schuller, Michel F. Valstar, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Exploring A New Method for Food Likability Rating Based on DT-CWT Theory

Björn W. Schuller, Jing Han, Zixing Zhang, 2018, ICMI.

Average Jane, Where Art Thou? – Recent Avenues in Efficient Machine Learning Under Subjectivity Uncertainty

Björn W. Schuller, Georgios Rizos, Björn Schuller, 2020, IPMU.

Ask Alice: an artificial retrieval of information agent

Eduardo Coutinho, Björn W. Schuller, Dirk Heylen, 2016, ICMI.

Acoustic emotion recognition: A benchmark comparison of performances

Björn W. Schuller, Andreas Wendemuth, Florian Eyben, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Convolutive Non-Negative Sparse Coding and New Features for Speech Overlap Handling in Speaker Diarization

Björn W. Schuller, Nicholas W. D. Evans, Gerhard Rigoll, 2012, INTERSPEECH.

Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech

Björn W. Schuller, Zixing Zhang, Bingwen Wu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Analysis of Social Emotions

Björn W. Schuller, Hatice Gunes, Björn Schuller, 2017, Social Signal Processing.

Language proficiency assessment of English L2 speakers based on joint analysis of prosody and native language

Björn W. Schuller, Florian Hönig, Anton Batliner, 2016, ICMI.

MAPTRAITS 2014: The First Audio/Visual Mapping Personality Traits Challenge

Björn W. Schuller, Hatice Gunes, Florian Eyben, 2014, MAPTRAITS '14.

An Evolutionary-based Generative Approach for Audio Data Augmentation

Björn W. Schuller, Elisabeth André, Silvan Mertes, 2020, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).

MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016

Shiguang Shan, Björn W. Schuller, Dongmei Jiang, 2016, CCPR.

Emotion representation, analysis and synthesis in continuous space: A survey

Björn W. Schuller, Hatice Gunes, Maja Pantic, 2011, Face and Gesture 2011.

Integrating noise estimation and factorization-based speech separation: A novel hybrid approach

Björn W. Schuller, David Virette, Cyril Joder, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2016, ACM Multimedia.

Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks pdf

Björn W. Schuller, Nicholas Cummins, Michael Freitag, 2018 .

Novel Metrics of Speech Rhythm for the Assessment of Emotion

Fabien Ringeval, Björn W. Schuller, Mohamed Chetouani, 2012, INTERSPEECH.

Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2008, INTERSPEECH.

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

Björn W. Schuller, Zixing Zhang, Martin Wöllmer, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Passive monitoring and geo-based prediction of mobile network vehicle-to-server communication

Björn W. Schuller, Alfred Höß, Josef Schmid, 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models

Björn W. Schuller, Zhao Ren, Nicholas Cummins, 2020, INTERSPEECH.

Essential Principles to Make Multimodal Sentiment Analysis Work in the Wild

Björn W. Schuller, 2016 .

Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2008, EURASIP J. Audio Speech Music. Process..

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2017, IEEE Journal of Selected Topics in Signal Processing.

DEMoS: an Italian emotional speech corpus

Björn W. Schuller, Giovanni Costantini, Anton Batliner, 2019, Language Resources and Evaluation.

Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence

Björn W. Schuller, Hung-yi Lee, Zixing Zhang, 2020, IEEE Trans. Emerg. Top. Comput. Intell..

Guest Editorial: Special Section on Naturalistic Affect Resources for System Building and Evaluation

Björn W. Schuller, Ellen Douglas-Cowie, Anton Batliner, 2012, IEEE Trans. Affect. Comput..

Detection of security related affect and behaviour in passenger transport

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2008, INTERSPEECH.

Introduction to the Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2018, ACM Trans. Multim. Comput. Commun. Appl..

Words that Fascinate the Listener: Predicting Affective Ratings of On-Line Lectures

Björn W. Schuller, Felix Weninger, Pascal Staudt, 2013, Int. J. Distance Educ. Technol..

Off-line refinement of audio-to-score alignment by observation template adaptation

Björn W. Schuller, Cyril Joder, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Affective speaker state analysis in the presence of reverberation

Björn W. Schuller, Björn Schuller, 2011, Int. J. Speech Technol..

On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving

Björn W. Schuller, Clifford Nass, Gerhard Rigoll, 2007, ACII.

Large-scale audio feature extraction and SVM for acoustic scene classification

Björn W. Schuller, Gerhard Rigoll, Jürgen T. Geiger, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling

Björn W. Schuller, Andreas Wendemuth, Bogdan Vlasenko, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Interacting with Emotional Virtual Agents

Björn W. Schuller, Dirk Heylen, Etienne de Sevin, 2011, INTETAIN.

The Sincerity Sub-Challenge: The Data

Eduardo Coutinho, Björn W. Schuller, Julia Hirschberg, 2016, INTERSPEECH.

Memory-Enhanced Neural Networks and NMF for Robust ASR

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation

Erik Marchi, Björn W. Schuller, Florian Eyben, 2013, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).

"Would You Buy a Car from Me?" - On the Likability of Telephone Voices

Björn W. Schuller, Felix Weninger, Felix Burkhardt, 2011, INTERSPEECH.

Serious Gaming for Behavior Change: The State of Play

Björn W. Schuller, Lucas Paletta, Ian Dunwell, 2013, IEEE Pervasive Computing.

Building Autonomous Sensitive Artificial Listeners

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2012, IEEE Transactions on Affective Computing.

Timing levels in segment-based speech emotion recognition

Björn W. Schuller, Gerhard Rigoll, Björn Schuller, 2006, INTERSPEECH.

Modeling gender information for emotion recognition using Denoising autoencoder

Björn W. Schuller, Rui Xia, Jun Deng, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Advanced Data Exploitation in Speech Analysis: An overview

Björn W. Schuller, Zixing Zhang, Nicholas Cummins, 2017, IEEE Signal Processing Magazine.

MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop pdf

Yiannis Kompatsiaris, Björn W. Schuller, Erik Cambria, 2020, ArXiv.

Distributing Recognition in Computational Paralinguistics

Eduardo Coutinho, Björn W. Schuller, Zixing Zhang, 2014, IEEE Transactions on Affective Computing.

Probabilistic asr feature extraction applying context-sensitive connectionist temporal classification networks

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13)

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2013, MM '13.

The Effect of Narrow-Band Transmission on Recognition of Paralinguistic Information From Human Vocalizations

Erik Marchi, Björn W. Schuller, Sascha Frühholz, 2016, IEEE Access.

Audiovisual Behavior Modeling by Combined Feature Spaces

Björn W. Schuller, Bernd Radig, Gerhard Rigoll, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Temporal and Situational Context Modeling for Improved Dominance Recognition in Meetings

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2012, INTERSPEECH.

Computational Analysis of Vocal Expression of Affect: Trends and Challenges

Björn W. Schuller, Klaus R. Scherer, Aaron Elkins, 2017, Social Signal Processing.

Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

Björn W. Schuller, Jonathan Le Roux, John R. Hershey, 2015, LVA/ICA.

Low Level Texture Features for Snore Sound Discrimination

Björn W. Schuller, Nicholas Cummins, Abdulkadir Sengür, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach

Björn W. Schuller, Nicholas Cummins, Sven Bölte, 2017, INTERSPEECH.

ERM4CT 2015: Workshop on Emotion Representations and Modelling for Companion Systems

Björn W. Schuller, Kim Hartmann, Ingo Siegert, 2015, ERM4CT@ICMI.

6th International Symposium on Attention in Cognitive Systems 2013 pdf

Björn W. Schuller, Lucas Paletta, Laurent Itti, 2013, ArXiv.

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification

Björn W. Schuller, Mark D. Plumbley, Kun Qian, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Voice and Speech Analysis in Search of States and Traits

Björn W. Schuller, Björn Schuller, 2011, Computer Analysis of Human Behavior.

Dimensional and continuous analysis of emotions for multimedia applications: a tutorial overview

Björn W. Schuller, Hatice Gunes, 2012, ACM Multimedia.

You Sound Like Your Counterpart: Interpersonal Speech Analysis

Björn W. Schuller, Jing Han, Maximilian Schmitt, 2018, SPECOM.

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis

Björn W. Schuller, Nicholas Cummins, Shahin Amiriparian, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2007, ACII.

New avenues in knowledge bases for natural language processing

Björn W. Schuller, Erik Cambria, Yunqing Xia, 2016, Knowl. Based Syst..

A Comparison of Online Automatic Speech Recognition Systems and the Nonverbal Responses to Unintelligible Speech pdf

Björn W. Schuller, Chunfeng Liu, Rafael A. Calvo, 2019, ArXiv.

CCA based feature selection with application to continuous depression recognition from acoustic speech features

Björn W. Schuller, Albert Ali Salah, Florian Eyben, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2013, Image Vis. Comput..

An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition

Björn W. Schuller, Nicholas Cummins, Adria Mallol-Ragolta, 2020, INTERSPEECH.

IDGEI 2014: 2nd international workshop on intelligent digital games for empowerment and inclusion

Peter Robinson, Björn W. Schuller, Lucas Paletta, 2014, IUI Companion '14.

Statistical Approaches to Concept-Level Sentiment Analysis

Björn W. Schuller, Haixun Wang, Erik Cambria, 2013, IEEE Intell. Syst..

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development

Björn W. Schuller, Franz Pernkopf, Robert Peharz, 2016, INTERSPEECH.

Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Jun Deng, 2014, 2014 22nd International Conference on Pattern Recognition.

Musical-Linguistic Annotations of Il Lauro Secco

Björn W. Schuller, Anton Batliner, Maximilian Schmitt, 2018, ISMIR.

Detecting problems in spoken child-computer interaction

Björn W. Schuller, Anton Batliner, Matteo Gerosa, 2008, WOCCI.

Online Driver Distraction Detection Using Long Short-Term Memory

Björn W. Schuller, Martin Wöllmer, Berthold Färber, 2011, IEEE Transactions on Intelligent Transportation Systems.

Convolutional Neural Networks with Data Augmentation for Classifying Speakers' Native Language

Björn W. Schuller, Gil Keren, Jun Deng, 2016, INTERSPEECH.

What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks

Björn W. Schuller, Nicholas Cummins, Simone Hantke, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Does She Speak RTT? Towards an Earlier Identification of Rett Syndrome Through Intelligent Pre-Linguistic Vocalisation Analysis

Björn W. Schuller, Florian B. Pokorny, Christa Einspieler, 2016, INTERSPEECH.

Five Crucial Challenges in Digital Health

Björn W. Schuller, Nicholas Cummins, Björn Schuller, 2020, Frontiers in Digital Health.

Detecting Vocal Irony

Björn W. Schuller, Florian Eyben, Jun Deng, 2017, GSCL.

Discrimination of speech and monophonic singing in continuous audio streams applying multi-layer support vector machines

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Robust vocabulary independent keyword spotting with graphical models

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Automated Classification of Airborne Pollen using Neural Networks

Björn W. Schuller, Bernhard Bauer, Jens O. Brunner, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Categorical and dimensional affect analysis in continuous input: Current trends and future directions

Björn W. Schuller, Hatice Gunes, Björn Schuller, 2013, Image Vis. Comput..

What Affective Computing Reveals about Autistic Children's Facial Expressions of Joy or Fear

Björn W. Schuller, 2018, Computer.

Multimodal music retrieval for large databases

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification pdf

Björn W. Schuller, Mark D. Plumbley, Zhao Ren, 2020, IEEE Transactions on Multimedia.

End-to-End Speech Emotion Recognition Using Deep Neural Networks

Björn W. Schuller, Panagiotis Tzirakis, Jiehao Zhang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis

Björn W. Schuller, Zixing Zhang, Alejandrina Cristià, 2019, ICMI.

Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study

Björn W. Schuller, Ognjen Rudovic, Rosalind W. Picard, 2017, Front. Robot. AI.

Paralinguistics in speech and language - State-of-the-art and the challenge

Björn W. Schuller, Christian A. Müller, Shrikanth S. Narayanan, 2013, Comput. Speech Lang..

AVEC 2012: the continuous audio/visual emotion challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2012, ICMI '12.

Conversational Speech Recognition in Non-stationary Reverberated Environments

Björn W. Schuller, Stefano Squartini, Martin Wöllmer, 2011, COST 2102 Training School.

Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda

Ann Morrison, Raphaël Troncy, Björn W. Schuller, 2018, 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS).

EAT -: The ICMI 2018 Eating Analysis and Tracking Challenge

Björn W. Schuller, Panagiotis Tzirakis, Simone Hantke, 2018, ICMI.

Learning Audio Sequence Representations for Acoustic Event Classification pdf

Björn W. Schuller, Ding Liu, Jing Han, 2017, Expert Syst. Appl..

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats

Björn W. Schuller, Harald Baumeister, Kun Qian, 2018, INTERSPEECH.

A Real-Time Speech Enhancement Framework for Multi-party Meetings

Björn W. Schuller, Stefano Squartini, Emanuele Principi, 2011, NOLISP.

The Computational Paralinguistics Challenge [Social Sciences]

Björn W. Schuller, Björn Schuller, 2012, IEEE Signal Processing Magazine.

Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature Sets

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2012, MediaEval.

The INTERSPEECH 2011 Speaker State Challenge

Björn W. Schuller, Jarek Krajewski, Anton Batliner, 2011, INTERSPEECH.

Acoustic-Linguistic Recognition of Interest in Speech with Bottleneck-BLSTM Nets

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2011, INTERSPEECH.

Face reading from speech - predicting facial action units from audio cues

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2015, INTERSPEECH.

From speech to letters - using a novel neural network architecture for grapheme based ASR

Björn W. Schuller, Alex Graves, Florian Eyben, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Guest Editorial Intelligence in Serious Games

Björn W. Schuller, Georgios N. Yannakakis, Lucas Paletta, 2019, IEEE Trans. Games.

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification

Björn W. Schuller, Kun Qian, Nicholas Cummins, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions

Björn W. Schuller, Giovanni Costantini, Anton Batliner, 2018, ISMIR.

Evolutionary Feature Generation in Speech Emotion Recognition

Björn W. Schuller, Gerhard Rigoll, Stephan Reiter, 2006, 2006 IEEE International Conference on Multimedia and Expo.

VoicePlay — An affective sports game operated by speech emotion recognition based on the component process model

Björn W. Schuller, Gerhard Hagerer, Florian Eyben, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Can Affective Computing Save Lives? Meet Mobile Health

Björn W. Schuller, Björn Schuller, 2017, Computer.

Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition

Yuuki Tachioka, Björn W. Schuller, Shinji Watanabe, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic recognition of emotion evoked by general sound events

Björn W. Schuller, Zixing Zhang, Shrikanth S. Narayanan, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Applying Bayes Markov chains for the detection of ATM related scenarios

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

Prosodic and spectral features within segment-based acoustic modeling

Björn W. Schuller, Xiaohua Zhang, Gerhard Rigoll, 2008, INTERSPEECH.

Syllabification of conversational speech using Bidirectional Long-Short-Term Memory Neural Networks

Björn W. Schuller, Jens Edlund, Florian Eyben, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Seeking the SuperStar: Automatic assessment of perceived singing quality

Björn W. Schuller, Florian Eyben, Harald Kosch, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Automatic Analysis of Aesthetics: Human Beauty, Attractiveness, and Likability

Björn W. Schuller, Hatice Gunes, Björn Schuller, 2017, Social Signal Processing.

Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2016, INTERSPEECH.

How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers

Björn W. Schuller, Lucas Paletta, Nicholas Cummins, 2018, SPECOM.

Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings

Björn W. Schuller, Nicholas Cummins, Simone Hantke, 2017, INTERSPEECH.

Channel mapping using bidirectional long short-term memory for dereverberation in hands-free voice controlled devices

Björn W. Schuller, Zixing Zhang, Daniel Willett, 2014, IEEE Transactions on Consumer Electronics.

Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Florian Eyben, 2014, IEEE Signal Processing Letters.

Applying Bayesian belief networks in approximate string matching for robust keyword-based retrieval

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

State of Mind: Classification through Self-reported Affect and Word Use in Speech

Björn W. Schuller, Harald Baumeister, Nicholas Cummins, 2018, INTERSPEECH.

Hidden Markov model-based speech emotion recognition

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Multi-Modal Non-Prototypical Music Mood Analysis in Continuous Space: Reliability and Performances

Björn W. Schuller, Johannes Dorfner, Felix Weninger, 2011, ISMIR.

Affective Image Content Analysis: A Comprehensive Survey

Qingming Huang, Björn W. Schuller, Kurt Keutzer, 2018, IJCAI.

Come and have an emotional workout with sensitive artificial listeners!

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2011, Face and Gesture 2011.

Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages

Erik Marchi, Björn W. Schuller, Reinhold Häb-Umbach, 2015, INTERSPEECH.

Dimensionality reduction for speech emotion features by multiscale kernels

Björn W. Schuller, Jun Deng, Wenming Zheng, 2015, INTERSPEECH.

Speech overlap detection and attribution using convolutive non-negative sparse coding

Dong Wang, Björn W. Schuller, Nicholas W. D. Evans, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Evolving Learning for Analysing Mood-Related Infant Vocalisation

Björn W. Schuller, Kun Qian, Jing Han, 2018, INTERSPEECH.

OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

Weakly Supervised One-Shot Detection with Attention Siamese Networks pdf

Björn W. Schuller, Gil Keren, Maximilian Schmitt, 2018, ArXiv.

A Deep Semi-NMF Model for Learning Hidden Representations

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2014, ICML.

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics pdf

Björn W. Schuller, Liang Zhang, Mohammed Bennamoun, 2020, Neural Computing and Applications.

Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons' Call Detection

Björn W. Schuller, Panagiotis Tzirakis, Alexander Shiarella, 2020, INTERSPEECH.

Acoustic Geo-Sensing: Recognising cyclists' route, route direction, and route progress from cell-phone audio

Björn W. Schuller, Lucas Paletta, Franz Graf, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music

Eduardo Coutinho, Björn W. Schuller, Hesam Sagha, 2015, AVEC@ACM Multimedia.

Recognising interest in conversational speech - comparing bag of frames and supra-segmental features

Björn W. Schuller, Gerhard Rigoll, Björn Schuller, 2009, INTERSPEECH.

Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Jun Deng, 2017, IEEE Signal Processing Letters.

On the Impact of Children's Emotional Speech on Acoustic and Language Models

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2010, EURASIP J. Audio Speech Music. Process..

Experimental evaluation of user errors at the skill-based level in an automative environment

Björn W. Schuller, Frank Althoff, Gregor McGlaun, 2002, CHI Extended Abstracts.

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments

Björn W. Schuller, Alice Baird, Nicholas Cummins, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Towards Temporal Modelling of Categorical Speech Emotion Recognition

Björn W. Schuller, Haifeng Li, Xiaomin Chen, 2018, INTERSPEECH.

Introduction To The Special Issue On Affect Analysis In Continuous Input

Björn W. Schuller, Hatice Gunes, Björn Schuller, 2013, Image Vis. Comput..

On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues

Björn W. Schuller, Roddy Cowie, Alex Graves, 2009, Journal on Multimodal User Interfaces.

Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2010, IEEE Journal of Selected Topics in Signal Processing.

Automated Classification of Children's Linguistic versus Non-Linguistic Vocalisations

Björn W. Schuller, Zixing Zhang, Alejandrina Cristià, 2018, INTERSPEECH.

Fast and Robust Meter and Tempo Recognition for the Automatic Discrimination of Ballroom Dance Styles

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding

Björn W. Schuller, Maja Pantic, Ognjen Rudovic, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus

Björn W. Schuller, Florian Metze, Zhenyu Dai, 2019, IEEE Journal of Biomedical and Health Informatics.

Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data

Björn W. Schuller, Gerhard Hagerer, Florian Eyben, 2017, Semantic Audio.

Introducing the Weighted Trustability Evaluator for Crowdsourcing Exemplified by Speaker Likability Classification

Erik Marchi, Björn W. Schuller, Simone Hantke, 2016, LREC.

A Deep Matrix Factorization Method for Learning Attribute Representations

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data

Björn W. Schuller, Kun Qian, Jing Han, 2019, IEEE Journal of Biomedical and Health Informatics.

Emotional Expressions and Daily Cognitive Functions

Björn W. Schuller, Björn Schuller, 2015, Advances in Neural Networks.

Comparing one and two-stage acoustic modeling in the recognition of emotion in speech

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Aspekte effizienten Usability Engineerings (Aspects of Efficient Usability Engineering)

Björn W. Schuller, Michael Geiger, Ralf Nieschulz, 2002, Informationstechnik Tech. Inform..

The Munich LSTM-RNN Approach to the MediaEval 2014 "Emotion in Music'" Task

Eduardo Coutinho, Björn W. Schuller, Klaus R. Scherer, 2014, MediaEval.

Discriminatively Trained Recurrent Neural Networks for Continuous Dimensional Emotion Recognition from Audio

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2016, IJCAI.

Summary for AVEC 2017: Real-life Depression and Affect Challenge and Workshop

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, ACM Multimedia.

Semi-supervised learning helps in sound event classification

Björn W. Schuller, Zixing Zhang, Björn Schuller, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Submotions for Hidden Markov Model Based Dynamic Facial Action Recognition

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2006, 2006 International Conference on Image Processing.

Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition

Björn W. Schuller, Florian Eyben, Gaël Richard, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Emotion sensitive speech control for human-robot interaction in minimal invasive surgery

Björn W. Schuller, Gerhard Rigoll, Hubertus Feußner, 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

Erik Marchi, Björn W. Schuller, Stefano Squartini, 2017, Comput. Intell. Neurosci..

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results

Björn W. Schuller, Nicholas Cummins, Anton Batliner, 2017, INTERSPEECH.

Using linguistic information to detect overlapping speech

Björn W. Schuller, Nicholas W. D. Evans, Florian Eyben, 2013, INTERSPEECH.

Stacked denoising autoencoders for sentiment analysis: a review

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, WIREs Data Mining Knowl. Discov..

Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus

Björn W. Schuller, Thomas Hain, Madina Hasan, 2020, INTERSPEECH.

Brute-forcing hierarchical functionals for paralinguistics: A waste of feature space?

Björn W. Schuller, Gerhard Rigoll, Christian Kern, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Semantic Speech Tagging: Towards Combined Analysis of Speaker Traits

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2011, Semantic Audio.

The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2014, INTERSPEECH.

Audiovisual vocal outburst classification in noisy acoustic conditions

Björn W. Schuller, Maja Pantic, Florian Eyben, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Enhanced semi-supervised learning for multimodal emotion recognition

Eduardo Coutinho, Fabien Ringeval, Erik Marchi, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning with synthesized speech for automatic emotion recognition

Björn W. Schuller, Felix Burkhardt, Björn Schuller, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers

Björn W. Schuller, Gerhard Hagerer, Florian Eyben, 2017, INTERSPEECH.

Active learning by label uncertainty for acoustic emotion recognition

Erik Marchi, Björn W. Schuller, Zixing Zhang, 2013, INTERSPEECH.

Score-Informed Leading Voice Separation from Monaural Audio

Björn W. Schuller, Cyril Joder, Björn Schuller, 2012, ISMIR.

Improving Recognition of Speaker States and Traits by Cumulative Evidence: Intoxication, Sleepiness, Age and Gender

Erik Marchi, Björn W. Schuller, Felix Weninger, 2012, INTERSPEECH.

Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals

Björn W. Schuller, Isabel Trancoso, Tanja Schultz, 2020, INTERSPEECH.

Likability Classification - A Not so Deep Neural Network Approach

Björn W. Schuller, Raymond Brueckner, 2012, INTERSPEECH.

Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition

Björn W. Schuller, Zhao Ren, Nicholas Cummins, 2020, INTERSPEECH.

Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2011, Speech Commun..

Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines

Björn W. Schuller, Alan Hanjalic, Frank Kurth, 2012, Multimodal Music Processing.

Fast Single-Class Classification and the Principle of Logit Separation

Björn W. Schuller, Gil Keren, Sivan Sabato, 2017, 2018 IEEE International Conference on Data Mining (ICDM).

The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition

Elmar Nöth, Björn W. Schuller, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Emotional Analysis of Music: A Comparison of Methods

Yi-Hsuan Yang, Mohammad Soleymani, Björn W. Schuller, 2014, ACM Multimedia.

A machine learning based system for the automatic evaluation of aphasia speech

Björn W. Schuller, Sabina Jeschke, Christian Kohlschein, 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge

Fabien Ringeval, Björn W. Schuller, Roddy Cowie, 2014, AVEC@ACM Multimedia.

Meta-classifiers in acoustic and linguistic feature fusion-based affect recognition

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music

Björn W. Schuller, Florian Eyben, Noam Amir, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies

Björn W. Schuller, Roddy Cowie, Florian Eyben, 2008, INTERSPEECH.

A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits

Björn W. Schuller, Florian Eyben, Yue Zhang, 2017, ACM Multimedia.

Mothers, adults, children, pets — towards the acoustics of intimacy

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Wearable Assistance for the Ballroom-Dance Hobbyist - Holistic Rhythm Analysis and Dance-Style Classification

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Deep neural networks for acoustic emotion recognition: Raising the benchmarks

Björn W. Schuller, Florian Eyben, André Stuhlsatz, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature selection in multimodal continuous emotion prediction

Björn W. Schuller, Nicholas Cummins, Michael Freitag, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, AVEC@ACM Multimedia.

Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance

Björn W. Schuller, Florian Eyben, Felix Friedmann, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Perceived Emotion of Isolated Synthetic Audio: The EmoSynth Dataset and Results

Björn W. Schuller, Simone Hantke, Alice Baird, 2018, Audio Mostly Conference.

A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech

Björn W. Schuller, Zixing Zhang, Jun Deng, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Speech Analysis in the Big Data Era

Björn W. Schuller, Björn Schuller, 2015, TSD.

Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote?

Björn W. Schuller, Zixing Zhang, Gerhard Rigoll, 2011, INTERSPEECH.

A hybrid music retrieval system using belief networks to integrate multimodal queries and contextual knowledge

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Emotion recognition using imperfect speech recognition

Björn W. Schuller, Tim Polzehl, Florian Metze, 2010, INTERSPEECH.

Hidden Conditional Random Fields for Meeting Segmentation

Björn W. Schuller, Gerhard Rigoll, Stephan Reiter, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Building autonomous sensitive artificial listeners (Extended abstract)

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models

Fabien Ringeval, Björn W. Schuller, Arianna Mencattini, 2017, IEEE Transactions on Affective Computing.

Sentiment analysis and opinion mining: on optimal parameters and performances

Björn W. Schuller, Amr El-Desoky Mousa, Vasileios Vryniotis, 2015, WIREs Data Mining Knowl. Discov..

YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context

Björn W. Schuller, Congkai Sun, Martin Wöllmer, 2013, IEEE Intelligent Systems.

Perception of Paralinguistic Traits in Synthesized Voices

Björn W. Schuller, Nicholas Cummins, Simone Hantke, 2017, Audio Mostly Conference.

Enhancing Multilingual Recognition of Emotion in Speech by Language Identification

Erik Marchi, Björn W. Schuller, Pavel Matejka, 2016, INTERSPEECH.

Automatic speaker analysis 2.0: Hearing the bigger picture

Björn W. Schuller, Björn Schuller, 2017, 2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD).

Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract)

Björn W. Schuller, Andreas Wendemuth, Florian Eyben, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Feature enhancement by deep LSTM networks for ASR in reverberant multisource environments

Björn W. Schuller, Martin Wöllmer, Gerhard Rigoll, 2014, Comput. Speech Lang..

GMs in On-Line Handwritten Whiteboard Note Recognition: The Influence of Implementation and Modeling

Björn W. Schuller, Gerhard Rigoll, Joachim Schenk, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Is Deception Emotional? An Emotion-Driven Predictive Approach

Erik Marchi, Björn W. Schuller, Jouni Pohjalainen, 2016, INTERSPEECH.

Robust in-car spelling recognition - a tandem BLSTM-HMM approach

Björn W. Schuller, Florian Eyben, Martin Wöllmer, 2009, INTERSPEECH.

Vocalist Gender Recognition in Recorded Popular Music

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2010, ISMIR.

Adventitious Respiratory Classification Using Attentive Residual Neural Networks

Björn W. Schuller, Shuo Liu, Emilia Parada-Cabaleiro, 2020, INTERSPEECH.

WEARABLE ASSISTANCEFOR THE BALLROOM-DANCE HOBBYIST- HOLISTICRHYTHM ANALYSISAND DANCE-STYLECLASSIFICATION

Björn W. Schuller, Florian Eyben, Stephan Reiter, 2007 .

The Perception of Emotions in Noisified Nonsense Speech

Björn W. Schuller, Anton Batliner, Simone Hantke, 2017, INTERSPEECH.

Speech, Emotion, Age, Language, Task, and Typicality: Trying to Disentangle Performance and Feature Relevance

Erik Marchi, Björn W. Schuller, Anton Batliner, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning

Fabien Ringeval, Björn W. Schuller, Jing Han, 2018, IEEE Access.

Deep Canonical Time Warping

George Trigeorgis, Stefanos Zafeiriou, Björn W. Schuller, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals

Loïc Kessous, Björn W. Schuller, Johannes Wagner, 2007, INTERSPEECH.

Gait-based person identification by spectral, cepstral and energy-related audio features

Björn W. Schuller, Gerhard Rigoll, Martin Hofmann, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Social and Affective Robotics Tutorial

Björn W. Schuller, Maja Pantic, Vanessa Evers, 2016, ACM Multimedia.

Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora pdf

Björn W. Schuller, Tobias Baur, Johannes Wagner, 2018, ArXiv.

Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture

Björn W. Schuller, Alex Graves, Florian Eyben, 2009, NOLISP.

Speaker independent emotion recognition by early fusion of acoustic and linguistic features within ensembles

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2005, INTERSPEECH.

Balancing spoken content adaptation and unit length in the recognition of emotion and interest

Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll, 2008, INTERSPEECH.

A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios

Björn W. Schuller, Stefano Squartini, Emanuele Principi, 2012, Cognitive Computation.

Fisher Kernels on Phase-Based Features for Speech Emotion Recognition

Björn W. Schuller, Zixing Zhang, Jun Deng, 2016, IWSDS.

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Björn W. Schuller, Zhao Ren, Qiuqiang Kong, 2019, PDH.

Towards Conditional Adversarial Training for Predicting Emotions from Speech

Fabien Ringeval, Björn W. Schuller, Zhao Ren, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Deception Sub-Challenge: The Data

Eduardo Coutinho, Björn W. Schuller, Julia Hirschberg, 2016, INTERSPEECH.

Do Computers Have Personality?

Björn W. Schuller, 2015, Computer.

Automatic Assessment of Singer Traits in Popular Music: Gender, Age, Height and Race

Björn W. Schuller, Martin Wöllmer, Felix Weninger, 2011, ISMIR.

Snore sound recognition: On wavelets and classifiers from deep nets to kernels

Björn W. Schuller, Kun Qian, Jun Deng, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Suspicious Behavior Detection in Public Transport by Fusion of Low-Level Video Descriptors

Björn W. Schuller, Gerhard Rigoll, Dejan Arsic, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition

Björn W. Schuller, Rui Xia, Zixing Zhang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

IEEE Transactions on Affective Computing-On Novelty and Valence

Björn W. Schuller, Björn Schuller, 2019, IEEE Trans. Affect. Comput..

Real-time robust recognition of speakers' emotions and characteristics on mobile platforms

Erik Marchi, Björn W. Schuller, Florian Eyben, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace

Björn W. Schuller, Jing Han, Jun Deng, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification

Björn W. Schuller, Georgios Rizos, Konstantin Hemker, 2019, CIKM.

Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition

Eduardo Coutinho, Björn W. Schuller, Chen Wu, 2019, IEEE Transactions on Multimedia.

Speaker Independent Speech Emotion Recognition by Ensemble Classification

Björn W. Schuller, Gerhard Rigoll, Stephan Reiter, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Introduction to the special issue on sensing emotion and affect - Facing realism in speech processing

Björn W. Schuller, Anton Batliner, Stefan Steidl, 2011, Speech Commun..

Guest editorial: Multimodal sentiment analysis and mining in the wild

Mohammad Soleymani, Björn W. Schuller, Shih-Fu Chang, 2017, Image Vis. Comput..

Intelligent Audio Analysis

Björn W. Schuller, Björn Schuller, 2013, Signals and communication technology.

Music Thumbnailing Incorporating Harmony- and Rhythm Structure

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2008, Adaptive Multimedia Retrieval.

HMM-based music retrieval using stereophonic feature information and framelength adaptation

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing

Björn W. Schuller, Aurelio Uncini, Stefano Squartini, 2018, IEEE Trans. Emerg. Top. Comput. Intell..

Synthesising 3D Facial Motion from “In-the-Wild” Speech

Stefanos Zafeiriou, Björn W. Schuller, Panagiotis Tzirakis, 2019, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Detecting overlapping speech with long short-term memory recurrent neural networks

Björn W. Schuller, Florian Eyben, Gerhard Rigoll, 2013, INTERSPEECH.

At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech

Fabien Ringeval, Björn W. Schuller, Maximilian Schmitt, 2016, INTERSPEECH.

Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech

Björn W. Schuller, Gerhard Hagerer, Nicholas Cummins, 2017, ACM Multimedia.

AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

Fabien Ringeval, Björn W. Schuller, Albert Ali Salah, 2018, AVEC@MM.

Real Time Person Tracking and Behavior Interpretation in Multi Camera Scenarios Applying Homography and Coupled HMMs

Björn W. Schuller, Dejan Arsic, 2010, COST 2102 Conference.

The acoustics of eye contact: detecting visual attention from conversational audio cues

Björn W. Schuller, Lucas Paletta, Florian Eyben, 2013, GazeIn '13.

Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech

Björn W. Schuller, Sebastian Schnieder, Jarek Krajewski, 2012, Neurocomputing.

Unsupervised learning in cross-corpus acoustic emotion recognition

Björn W. Schuller, Zixing Zhang, Martin Wöllmer, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions pdf

Björn W. Schuller, Panagiotis Tzirakis, Sylvain Laizet, 2019, ArXiv.

AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Roddy Cowie, 2016, AVEC@ACM Multimedia.

A survey of multimodal sentiment analysis

Mohammad Soleymani, Björn W. Schuller, Shih-Fu Chang, 2017, Image Vis. Comput..

AVEC 2011-The First International Audio/Visual Emotion Challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2011, ACII.

Towards Automatic Intoxication Detection from Speech in Real-Life Acoustic Environments

Björn W. Schuller, Zixing Zhang, Felix Weninger, 2012, ITG Conference on Speech Communication.

Emotion and mental state recognition from speech

Björn W. Schuller, Roddy Cowie, Shrikanth S. Narayanan, 2012, EURASIP J. Adv. Signal Process..

Video Based Online Behavior Detection Using Probabilistic Multi Stream Fusion

Björn W. Schuller, Gerhard Rigoll, Frank Wallhoff, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Using Computer Intelligence for Depression Diagnosis and Crowdsourcing

Jian Pei, Björn W. Schuller, Björn Schuller, 2016, Computer.

Hidden Markov model-based speech emotion recognition

Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Medium-term speaker states - A review on intoxication, sleepiness and the first challenge

Björn W. Schuller, Florian Eyben, Jarek Krajewski, 2014, Comput. Speech Lang..

Personalized machine learning for robot perception of affect and engagement in autism therapy

Björn W. Schuller, Rosalind W. Picard, Jaeryoung Lee, 2018, Science Robotics.

Combining Bottleneck-BLSTM and Semi-Supervised Sparse NMF for Recognition of Conversational Speech in Highly Instationary Noise

Björn W. Schuller, Martin Wöllmer, Felix Weninger, 2012, INTERSPEECH.

A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation

Björn W. Schuller, Anton Batliner, Emilia Parada-Cabaleiro, 2019, ISMIR.

Preserving actual dynamic trend of emotion in dimensional speech emotion recognition

Björn W. Schuller, Haifeng Li, Lin Ma, 2012, ICMI '12.

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

Björn W. Schuller, Carlos Busso, Johan Sundberg, 2016, IEEE Transactions on Affective Computing.

A Survey on Client Throughput Prediction Algorithms in Wired and Wireless Networks

Björn W. Schuller, Josef Schmid, Alfred Höss, 2021, ACM Comput. Surv..

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition pdf

Björn W. Schuller, Rajib Rana, Thejan Rajapakshe, 2021, ACSW.

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data

John H. L. Hansen, Björn W. Schuller, Carlos Busso, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Self-attention transfer networks for speech emotion recognition

Björn W. Schuller, Zixing Zhang, Nicholas Cummins, 2021, Virtual Real. Intell. Hardw..

Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech

Björn W. Schuller, Nicholas Cummins, Benjamin Sertolli, 2021, Comput. Speech Lang..

Deep Learning for Mobile Mental Health: Challenges and recent advances

Björn W. Schuller, Cecilia Mascolo, Zixing Zhang, 2021, IEEE Signal Processing Magazine.

Deep Learning Post-Earnings-Announcement Drift

Björn W. Schuller, Zhengxin Joseph Ye, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A Deep Audiovisual Approach for Human Confidence Classification

Björn W. Schuller, Sushovan Chanda, Gauri Deshpande, 2021, Frontiers in Computer Science.

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images

Björn W. Schuller, Elisabeth André, Zhao Ren, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition

Björn W. Schuller, Maria Pateraki, Adria Mallol-Ragolta, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

Embracing and Exploiting Annotator Emotional Subjectivity: An Affective Rater Ensemble Model

Björn W. Schuller, Anton Batliner, Lea Schumann, 2021, 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress

Björn W. Schuller, Harald Baumeister, Alice Baird, 2021, Frontiers in Computer Science.

Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence

Björn W. Schuller, Tuomas Virtanen, Annamaria Mesaros, 2021, ICMI.

Editorial: Ethical Machine Learning and Artificial Intelligence

Björn W. Schuller, Novi Quadrianto, Finnian Rachel Lattimore, 2021, Frontiers in Big Data.

Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention

Björn W. Schuller, Shahin Amiriparian, Alice Baird, 2021, 2021 IEEE Spoken Language Technology Workshop (SLT).

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition

Björn W. Schuller, Zixing Zhang, Nicholas Cummins, 2021, Neural Networks.

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds

Björn W. Schuller, Yi Chang, Zhao Ren, 2022, Frontiers in Digital Health.

Frustration recognition from speech during game interaction using wide residual networks

Björn W. Schuller, Ziping Zhao, Adria Mallol-Ragolta, 2021, Virtual Real. Intell. Hardw..

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Björn W. Schuller, Ognjen Rudovic, Eduardo Castelló Ferrer, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Intelligent Audio Analysis for Continuous Rainforest Occupancy Monitoring

Björn W. Schuller, Björn Schuller, Panagiotis Tzirakis, 2018 .