Jun Deng

发表

THE UP SYSTEM FOR THE 2016 DCASE CHALLENGE USING DEEP RECURRENT NEURAL NETWORK AND MULTISCALE KERNEL SUBSPACE LEARNING

Björn Schuller, S. Squartini, F. Ringeval, 2016 .

Rethinking Auditory Affective Descriptors Through Zero-Shot Emotion Recognition in Speech

Björn Schuller, L. Devillers, Zixing Zhang, 2022, IEEE Transactions on Computational Social Systems.

Confidence Measures for Speech Emotion Recognition: A Start

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

Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration

Dagmar M. Schuller, Björn Schuller, F. Eyben, 2019, Neural Computing and Applications.

Feature Transfer Learning for Speech Emotion Recognition

Jun Deng, Jun Deng, 2016 .

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning

Fabien Ringeval, Björn W. Schuller, Jing Han, 2018, IEEE Access.

Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration

Björn Schuller, Florian Eyben, Dagmar Schuller, 2019, Neural Computing and Applications.

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

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

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.

Co-training succeeds in Computational Paralinguistics

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

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

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

Distributing Recognition in Computational Paralinguistics

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

Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning

Björn Schuller, Zixing Zhang, Jun Deng, 2017, IEEE Access.

Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation

Kun Qian, Björn Schuller, Zixing Zhang, 2018 .

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).

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

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

Dimensionality reduction for speech emotion features by multiscale kernels

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

Semisupervised Autoencoders for Speech Emotion Recognition

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

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).

Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition

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

Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes

Zixing Zhang, Nicholas Cummins, Jun Deng, 2022, IEEE Transactions on Multimedia.

Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition

Li Zhao, Björn Schuller, Zixing Zhang, 2019, INTERSPEECH.

Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition

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

Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition

Eduardo Coutinho, Björn W. Schuller, Chen Wu, 2019, IEEE Transactions on Multimedia.

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).

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

Jianhua Tao, B. Schuller, Haishuai Wang, 2020, IEEE Journal of Selected Topics in Signal Processing.

Identifying surgical-mask speech using deep neural networks on low-level aggregation

Zixing Zhang, Björn W. Schuller, Xinzhou Xu, 2021, SAC.

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.

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.

Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification

Fabien Ringeval, Erik Marchi, Stefano Squartini, 2016, DCASE.

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

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

Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition

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

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).

Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches

Björn Schuller, Jun Deng, Johannes Wagner, 2018, IEEE Transactions on Affective Computing.

Detecting Vocal Irony

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

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.

Fisher Kernels on Phase-Based Features for Speech Emotion Recognition

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