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Zixing Zhang
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Sparse autoencoder-based feature transfer learning for speech emotion recognition
J Deng, Z Zhang, E Marchi, B Schuller
2013 humaine association conference on affective computing and intelligent …, 2013
4872013
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Z Zhang, J Geiger, J Pohjalainen, AED Mousa, W Jin, B Schuller
ACM Transactions on Intelligent Systems and Technology (TIST), 28 pages, 2018
4112018
Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition
J Deng, Z Zhang, F Eyben, B Schuller
IEEE Signal Processing Letters 21 (9), 1068 - 1072, 2014
3262014
Semisupervised autoencoders for speech emotion recognition
J Deng, X Xu, Z Zhang, S Fruhholz, B Schuller
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 26 (1 …, 2018
1682018
Cooperative Learning and its Application to Emotion Recognition from Speech
Z Zhang, E Coutinho, J Deng, B Schuller
IEEE Transactions on Audio, Speech and Language Processing 23 (1), 115-126, 2015
1622015
Unsupervised learning in cross-corpus acoustic emotion recognition
Z Zhang, F Weninger, M Wöllmer, B Schuller
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 523-528, 2011
1492011
Deep Scalogram Representations for Acoustic Scene Classification
Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller
IEEE/CAA Journal of Automatica Sinica, 2018
1432018
Universum autoencoder-based domain adaptation for speech emotion recognition
J Deng, X Xu, Z Zhang, S Frühholz, B Schuller
IEEE Signal Processing Letters 24 (4), 500-504, 2017
1422017
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ...
INTERSPEECH, 2020
1302020
Exploring Deep Spectrum Representations via Attention-based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition
Z Zhao, Z Bao, Y Zhao, Z Zhang, N Cummins, J Dineley, B Schuller
IEEE Access, 2019
1272019
From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty
J Han, Z Zhang, M Schmitt, B Schuller
Proc. of ACM International Conference on Multimedia (MM), 2017
1162017
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech
Z Zhang, B Wu, B Schuller
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2019
1062019
Using multiple databases for training in emotion recognition: To unite or to vote?
B Schuller, Z Zhang, F Weninger, G Rigoll
Twelfth Annual Conference of the International Speech Communication Association, 2011
1002011
ENHANCED SEMI-SUPERVISED LEARNING FOR MULTIMODAL EMOTION RECOGNITION
Z Zhang, F Ringeval, B Dong, E Coutinho, E Marchi, B Schuller
Proc. of ICASSP, 2016
972016
Robust Speech Recognition using Long Short-Term Memory Recurrent Neural Networks for Hybrid Acoustic Modelling
JT Geiger, Z Zhang, F Weninger, B Schuller, G Rigoll
INTERSPEECH, 2014
972014
Introducing Shared-Hidden-Layer Autoencoders for Transfer Learning and their Application in Acoustic Emotion Recognition
J Deng, R Xia, Z Zhang, Y Liu, B Schuller
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2014
972014
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
Z Zhao, Q Li, Z Zhang, N Cummins, H Wang, J Tao, BW Schuller
Neural Networks 141, 52-60, 2021
932021
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
J Han, Z Zhang, N Cummins, B Schuller
IEEE Computational Intelligence Magazine, 13 pages, 2018
902018
Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis
K Qian, C Janott, V Pandit, Z Zhang, C Heiser, W Hohenhorst, M Herzog, ...
IEEE Transactions on Biomedical Engineering, 2016
882016
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition
Z Zhao, Y Zheng, Z Zhang, H Wang, Y Zhao, C Li
Proc. INTERSPEECH, 2018
872018
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