Jun Deng
Jun Deng
audEERING, Germany
Verified email at tum.de
Title
Cited by
Cited by
Year
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
2682013
Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition
J Deng, Z Zhang, F Eyben, B Schuller
Signal Processing Letters, IEEE 21 (9), 1068-1072, 2014
1962014
Cooperative learning and its application to emotion recognition from speech
Z Zhang, E Coutinho, J Deng, B Schuller
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 115-126, 2014
1012014
Semisupervised autoencoders for speech emotion recognition
J Deng, X Xu, Z Zhang, S Frühholz, B Schuller
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (1), 31-43, 2017
582017
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
512017
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
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
512014
Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks
Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller
Proceedings INTERSPEECH 2016, 17th Annual Conference of the International …, 2016
422016
Modeling gender information for emotion recognition using denoising autoencoder
R Xia, J Deng, B Schuller, Y Liu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
422014
Transfer learning emotion manifestation across music and speech
E Coutinho, J Deng, B Schuller
2014 International Joint Conference on Neural Networks (IJCNN), 3592-3598, 2014
372014
Recognizing emotions from whispered speech based on acoustic feature transfer learning
J Deng, S Frühholz, Z Zhang, B Schuller
IEEE Access 5, 5235-5246, 2017
332017
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace
H Sagha, J Deng, M Gavryukova, J Han, B Schuller
2016 IEEE international conference on acoustics, speech and signal …, 2016
312016
Confidence measures in speech emotion recognition based on semi-supervised learning
J Deng, B Schuller
Thirteenth Annual Conference of the International Speech Communication …, 2012
312012
Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification
E Marchi, D Tonelli, X Xu, F Ringeval, J Deng, S Squartini, B Schuller
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2016
282016
Linked source and target domain subspace feature transfer learning--exemplified by speech emotion recognition
J Deng, Z Zhang, B Schuller
2014 22nd International Conference on Pattern Recognition, 761-766, 2014
252014
Confidence measures for speech emotion recognition: A start
J Deng, W Han, B Schuller
Speech Communication; 10. ITG Symposium, 1-4, 2012
252012
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge
J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller
Proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR, 2016
242016
Co-training succeeds in computational paralinguistics
Z Zhang, J Deng, B Schuller
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
242013
Convolutional Neural Networks and Data Augmentation for Classifying Speakers' Native Language
G Keren, J Deng, J Pohjalainen, B Schulle
Proceedings INTERSPEECH 2016, 17th Annual Conference of the International …, 2016
232016
Active learning by label uncertainty for acoustic emotion recognition
Z Zhang, J Deng, E Marchi, B Schuller
Proceedings INTERSPEECH 2013, 14th Annual Conference of the International …, 2013
232013
Exploitation of Phase-based Features for Whispered Speech Emotion Recognition
J Deng, X Xu, Z Zhang, S Frühholz, B Schuller
IEEE Access 4, 4299-4309, 2016
222016
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