| 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 | 498 | 2013 |
| 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 | 339 | 2014 |
| 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 | 171 | 2017 |
| 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 | 159 | 2014 |
| 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 | 143 | 2017 |
| 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 | 95 | 2014 |
| Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders Z Zhao, Z Bao, Z Zhang, J Deng, N Cummins, H Wang, J Tao, B Schuller IEEE Journal of Selected Topics in Signal Processing 14 (2), 423-434, 2019 | 94 | 2019 |
| 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 | 78 | 2017 |
| 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 | 67 | 2016 |
| Connecting subspace learning and extreme learning machine in speech emotion recognition X Xu, J Deng, E Coutinho, C Wu, L Zhao, BW Schuller IEEE Transactions on Multimedia 21 (3), 795-808, 2018 | 62 | 2018 |
| 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 | 59 | 2014 |
| 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 | 56 | 2016 |
| 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 | 54 | 2014 |
| Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration J Deng, B Schuller, F Eyben, D Schuller, Z Zhang, H Francois, E Oh Neural Computing and Applications 32 (4), 1095-1107, 2020 | 51 | 2020 |
| Leveraging unlabeled data for emotion recognition with enhanced collaborative semi-supervised learning Z Zhang, J Han, J Deng, X Xu, F Ringeval, B Schuller IEEE Access 6, 22196-22209, 2018 | 51 | 2018 |
| Speech-based diagnosis of autism spectrum condition by generative adversarial network representations J Deng, N Cummins, M Schmitt, K Qian, F Ringeval, B Schuller Proceedings of the 2017 international conference on digital health, 53-57, 2017 | 49 | 2017 |
| 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 | 44 | 2016 |
| 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 | 38 | 2014 |
| Confidence measures in speech emotion recognition based on semi-supervised learning J Deng, B Schuller Proceedings INTERSPEECH 2012, 13th Annual Conference of the International …, 2012 | 37 | 2012 |
| 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 | 35 | 2016 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGEmail được xác minh tại tum.de