Andreas Wendemuth

Andreas Wendemuth, Ronald Böck, Norman Weißkirchen, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study

Ingo Siegert, Andreas Wendemuth, Oliver Jokisch, 2020, SPECOM.

Optimal training parameters in multilayer feedforward networks

Andreas Wendemuth, Michael Gerke, A. Wendemuth, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Developing recording and synchronous handling of ten modalities in affective human machine interactions

Andreas Wendemuth, 2016, ERM4CT@ICMI.

Von kognitiven technischen Systemen zu Companion-Systemen

Andreas Wendemuth, Susanne Biundo-Stephan, 2010, KI - Künstliche Intelligenz.

Improved robustness of automatic speech recognition using a new class definition in linear discriminant analysis

Andreas Wendemuth, Martin Schafföner, Marcel Katz, 2003, INTERSPEECH.

Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications

Andreas Wendemuth, Ronald Böck, Bogdan Vlasenko, 2014, Comput. Speech Lang..

Approach to a Design of Experiments for Sound Quality Evaluations of Car Interior Adjusting Noises

Andreas Wendemuth, Philipp Scheibner, 2009 .

Fast Learning Of Biased Patterns In Neural Networks

Andreas Wendemuth, David Sherrington, 1993, Int. J. Neural Syst..

Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation

Ingo Siegert, Andreas Wendemuth, Dietmar F. Rösner, 2016, HCI.

Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus

Ingo Siegert, Andreas Wendemuth, Bernd Michaelis, 2012, LREC.

Maximum Margin Classification on Convex Euclidean Metric Spaces

Andreas Wendemuth, André Stuhlsatz, Hans-Günter Meier, 2008, Computer Recognition Systems 2.

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).

Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network

Andreas Wendemuth, Ronald Böck, Stefan Glüge, 2010, IJCCI.

Making the Lipschitz Classifier Practical via Semi-infinite Programming

Andreas Wendemuth, André Stuhlsatz, Hans-Günter Meier, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Accent and Channel Adaptation for Use in a Telephone-Based Spoken Dialog System

Andreas Wendemuth, Kinfe Tadesse Mengistu, 2008, TSD.

Dempster-Shafer Theory with Smoothness

Andreas Wendemuth, Ronald Böck, Stefan Glüge, 2013, IUKM.

Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction

Ingo Siegert, Andreas Wendemuth, Matthias Haase, 2014, HCI.

Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins

Ingo Siegert, David Philippou-Hübner, Andreas Wendemuth, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Speech recognition with support vector machines in a hybrid system

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2005, INTERSPEECH.

The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech

David Philippou-Hübner, Andreas Wendemuth, Ronald Böck, 2012, 2012 IEEE International Conference on Multimedia and Expo.

EMOTION RECOGNITION FROM DISTURBED SPEECH - TOWARDS AFFECTIVE COMPUTING IN REAL-WORLD IN-CAR ENVIRONMENTS

Ingo Siegert, Andreas Wendemuth, Fabian Faller, 2018 .

The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech

David Philippou-Hübner, Andreas Wendemuth, Ronald Böck, 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

Acoustic emotion recognition: A benchmark comparison of performances

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

Workshop: Companion-Systeme und Mensch-Companion-Interaktion

Andreas Wendemuth, Dietmar F. Rösner, Harald C. Traue, 2011, GI-Jahrestagung.

Companion-Systems: A Reference Architecture

Andreas Wendemuth, Frank Honold, Susanne Biundo-Stephan, 2017, Companion Technology.

The philips/RWTH system for transcription of broadcast news

Andreas Wendemuth, Dietrich Klakow, Reinhold Häb-Umbach, 1999, EUROSPEECH.

Intention-Based Anticipatory Interactive Systems

Andreas Wendemuth, Andreas Nürnberger, Ayoub Al-Hamadi, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Neurobiologically Inspired, Multimodal Intention Recognition for Technical Communication Systems (NIMITEK)

Andreas Wendemuth, Jochen Braun, Bernd Michaelis, 2008, PIT.

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).

Score calibrating for speaker recognition based on support vector machines and gaussian mixture models

Andreas Wendemuth, Martin Schafföner, Marcel Katz, 2007, SIP.

Analysis of the influence of different room acoustics on acoustic emotion features

Ingo Siegert, Andreas Wendemuth, Michael Tornow, 2019 .

The LAST MINUTE Corpus as a Research Resource: From Signal Processing to Behavioral Analyses in User-Companion Interactions

Ingo Siegert, Andreas Wendemuth, Thomas Bauer, 2017, Companion Technology.

The restaurant booking corpus – content-identical comparative human-human and humancomputer simulated telephone conversations

Ingo Siegert, Andreas Wendemuth, Ralph Heinemann, 2019 .

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

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

Companion-Technology for Cognitive Technical Systems

Andreas Wendemuth, Susanne Biundo-Stephan, A. Wendemuth, 2011, KI - Künstliche Intelligenz.

Combined Linear and Nonlinear Residual Echo Suppression Using a Deficient Distortion Model - A Proof of Concept

Andreas Wendemuth, Friedrich Faubel, Markus Buck, 2016, ITG Symposium on Speech Communication.

Optimisation in neural networks

Andreas Wendemuth, A. Wendemuth, 1994 .

Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver’s Affective State

Andreas Wendemuth, Klas Ihme, Alicia Flores Lotz, 2018, LREC.

Sparse Kernel Logistic Regression using Incremental Feature Selection for Text-Independent Speaker Identification

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2006, 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop.

ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2011, ACII.

Free energy classification at various temperatures for speech recognition

Andreas Wendemuth, Alexander Barth, Edin Andelic, 2004 .

Sparse Nonlinear Discriminants

Andreas Wendemuth, Heiko Neumann, H. Neumann, 2007 .

Probabilistic Breadth as an Evaluation Measure of Gaussian Mixture Models used for Acoustic Emotion States

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2016 .

Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach

Hermann Ney, Andreas Wendemuth, Dietrich Klakow, 2002, Speech Commun..

Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech

Ingo Siegert, Andreas Wendemuth, Oliver Jokisch, 2016, ITG Symposium on Speech Communication.

NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI

Kim Hartmann, Andreas Wendemuth, Julia Krüger, 2015, ICMI.

Annotation and Classification of Changes of Involvement in Group Conversation

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Approximation of a nonlinear distortion function for combined linear and nonlinear residual echo suppression

Andreas Wendemuth, Friedrich Faubel, Markus Buck, 2016, 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC).

Companion technology : a paradigm shift in human-technology interaction

Andreas Wendemuth, Susanne Biundo-Stephan, A. Wendemuth, 2017 .

Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic Regression

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2006, IWICPAS.

Towards cognitive systems for assisted cooperative processes of goal finding and strategy change*

Stefan Kopp, Andreas Wendemuth, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Updates for Nonlinear Discriminants

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2007, IJCAI.

The Influence of Context Knowledge for Multi-modal Affective Annotation

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2013, HCI.

Fusion of Fragmentary Classifier Decisions for Affective State Recognition

Friedhelm Schwenker, Ingo Siegert, Andreas Wendemuth, 2012, MPRSS.

Processing affected speech within human machine interaction

Andreas Wendemuth, Bogdan Vlasenko, A. Wendemuth, 2009, INTERSPEECH.

Solving Number Series with Simple Recurrent Networks

Andreas Wendemuth, Stefan Glüge, A. Wendemuth, 2013, IWINAC.

Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2019, Innovations in Big Data Mining and Embedded Knowledge.

Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction

Andreas Wendemuth, Ronald Böck, Stefan Glüge, 2012, 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support.

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).

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech

Kim Hartmann, Ingo Siegert, David Philippou-Hübner, 2014, Cognitive Computation.

Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

TUNING HIDDEN MARKOV MODEL FOR SPEECH EMOTION RECOGNITION

Andreas Wendemuth, Bogdan Vlasenko, A. Wendemuth, 2007 .

ADAPTIVE BEAMFORMING IN SPEAKER DIARIZATION

Andreas Wendemuth, Tobias Grosser, Aoys Elsafadi, 2010 .

Mixture of Support Vector Machines for HMM based Speech Recognition

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Multi-modal fusion with particle filter for speaker localization and tracking

Andreas Wendemuth, Ayoub Al-Hamadi, Bernd Michaelis, 2011, 2011 International Conference on Multimedia Technology.

Adaptive transitions for automation in cars, trucks, buses and motorcycles

Andreas Wendemuth, Johan Karlsson, Emmanouil Zidianakis, 2020, IET Intelligent Transport Systems.

Hierarchical HMM-based semantic concept labeling model

Andreas Wendemuth, Mirko Hannemann, Kinfe Tadesse Mengistu, 2008, 2008 IEEE Spoken Language Technology Workshop.

Comparison of Different Modeling Techniques for Robust Prototype Matching of Speech Pitch-Contours

Ingo Siegert, Andreas Wendemuth, Alicia Lotz, 2016 .

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).

Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2013, Journal on Multimodal User Interfaces.

Combination of confidence measures in isolated word recognition

Andreas Wendemuth, Hans J. G. A. Dolfing, A. Wendemuth, 1998, ICSLP.

An Introduction to Companion-Technology

Andreas Wendemuth, Susanne Biundo-Stephan, A. Wendemuth, 2017, Companion Technology.

Modeling uncertainty of data observation

Andreas Wendemuth, A. Wendemuth, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Advances in confidence measures for large vocabulary

Andreas Wendemuth, Georg Rose, Hans J. G. A. Dolfing, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Stabilities in optimal cluster separation networks

Andreas Wendemuth, 1995, Neural Networks.

Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech

Ingo Siegert, Andreas Wendemuth, Norman Weißkirchen, 2020, 2020 IEEE International Conference on Human-Machine Systems (ICHMS).

Significance of Feature Differences in the Distinction of Mental-Load

Andreas Wendemuth, Andreas Nürnberger, Ronald Böck, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction

Kim Hartmann, Ingo Siegert, Andreas Wendemuth, 2013, WIRN.

Balancing spoken content adaptation and unit length in the recognition of emotion and interest

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

Comparative Study on Normalisation in Emotion Recognition from Speech

Ingo Siegert, Andreas Wendemuth, Ronald Böck, 2017, IHCI.

Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), September 23rd-25th, Ulm University, Germany

Andreas Wendemuth, Susanne Biundo-Stephan, Enrico Rukzio, 2015, ISCT.

Towards a Sensor Failure-Dependent Performance Adaptation Using the Validity Concept

Andreas Wendemuth, Sebastian Zug, Georg Jäger, 2017, SAFECOMP.

Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis

Ingo Siegert, Andreas Wendemuth, Alicia Flores Lotz, 2017, SPECOM.

Language-Model Investigations related to Broadcast News

Andreas Wendemuth, Dietrich Klakow, Reinhold Haeb-Umbach, 1998 .

Towards affect‐aware vehicles for increasing safety and comfort: recognising driver emotions from audio recordings in a realistic driving study

Andreas Wendemuth, Klas Ihme, Marc Wilbrink, 2020, IET Intelligent Transport Systems.

Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks

Andreas Wendemuth, Ronald Böck, Stefan Glüge, 2012, IJCCI.

Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems

Andreas Wendemuth, Dirk Schnelle-Walka, Spencer Lord, 2011, TSD.

Analysis of significant dialog events in realistic human–computer interaction

Ingo Siegert, Andreas Wendemuth, Dietmar F. Rösner, 2013, Journal on Multimodal User Interfaces.

Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm

David Philippou-Hübner, Andreas Wendemuth, Bogdan Vlasenko, 2010, INTERSPEECH.

Kernel Least-Squares Models Using Updates of the Pseudoinverse

Andreas Wendemuth, Edin Andelic, Martin Schafföner, 2006, Neural Computation.

Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error

Günther Palm, Andreas Wendemuth, Ronald Böck, 2014, Neurocomputing.

Parameter Optimization Issues for Cross-corpora Emotion Classification

David Philippou-Hübner, Andreas Wendemuth, Bogdan Vlasenko, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework

Ingo Siegert, Andreas Wendemuth, Norman Weißkirchen, 2021, Cognitive Systems Research.

AUDIO COMPRESSION AND ITS IMPACT ON EMOTION RECOGNITION IN AFFECTIVE COMPUTING

Ingo Siegert, Andreas Wendemuth, Alicia Flores Lotz, 2017 .

Modelling of Emotional Development within Human-Computer-Interaction

Kim Hartmann, Ingo Siegert, Andreas Wendemuth, 2013 .

Analysis of merge criteria within a watershed based segmentation algorithm

Andreas Wendemuth, Olaf Hellwich, Tobias Grosser, 2009, 2009 2nd International Conference on Adaptive Science & Technology (ICAST).

Detection of challenging dialogue stages using acoustic signals and biosignals

Andreas Wendemuth, Olga Egorow, A. Wendemuth, 2016 .

Telephone-Based Spoken Dialog System Using HTK-based Speech Recognizer and VoiceXML Kinfe

Andreas Wendemuth, Tadesse Mengistu, 2007 .

Towards Robust Spontaneous Speech Recognition with Emotional Speech Adapted Acoustic Models

Andreas Wendemuth, Bogdan Vlasenko, Dmytro Prylipko, 2012 .