Speech emotion recognition using deep neural network and extreme learning machine K Han, D Yu, I Tashev Interspeech 2014, 2014 | 992 | 2014 |
Learning spectral mapping for speech dereverberation and denoising K Han, Y Wang, DL Wang, WS Woods, I Merks, T Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (6), 982-992, 2015 | 309 | 2015 |
Exploring monaural features for classification-based speech segregation Y Wang, K Han, DL Wang IEEE Transactions on Audio, Speech, and Language Processing 21 (2), 270-279, 2012 | 248 | 2012 |
Learning alignment for multimodal emotion recognition from speech H Xu, H Zhang, K Han, Y Wang, Y Peng, X Li arXiv preprint arXiv:1909.05645, 2019 | 161 | 2019 |
A classification based approach to speech segregation K Han, DL Wang The Journal of the Acoustical Society of America 132 (5), 3475-3483, 2012 | 131 | 2012 |
Using context information for dialog act classification in DNN framework Y Liu, K Han, Z Tan, Y Lei Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 128 | 2017 |
Neural network based pitch tracking in very noisy speech K Han, DL Wang IEEE/ACM transactions on audio, speech, and language processing 22 (12 …, 2014 | 116 | 2014 |
Learning spectral mapping for speech dereverberation K Han, Y Wang, DL Wang 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 109 | 2014 |
Speech simclr: Combining contrastive and reconstruction objective for self-supervised speech representation learning D Jiang, W Li, M Cao, W Zou, X Li arXiv preprint arXiv:2010.13991, 2020 | 74 | 2020 |
Deep neural network based spectral feature mapping for robust speech recognition. K Han, Y He, D Bagchi, E Fosler-Lussier, DL Wang Interspeech, 2484-2488, 2015 | 74 | 2015 |
An SVM based classification approach to speech separation K Han, DL Wang 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 52 | 2011 |
Towards generalizing classification based speech separation K Han, DL Wang IEEE transactions on audio, speech, and language processing 21 (1), 168-177, 2012 | 45 | 2012 |
A further study of unsupervised pretraining for transformer based speech recognition D Jiang, W Li, R Zhang, M Cao, N Luo, Y Han, W Zou, K Han, X Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 43 | 2021 |
Didispeech: A large scale mandarin speech corpus T Guo, C Wen, D Jiang, N Luo, R Zhang, S Zhao, W Li, C Gong, W Zou, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 35 | 2021 |
A new channel parameter for cognitive radio P Zhu, J Li, K Han, X Wang 2007 2nd International Conference on Cognitive Radio Oriented Wireless …, 2007 | 31 | 2007 |
Neural networks for supervised pitch tracking in noise K Han, DL Wang 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 23 | 2014 |
Delta: a deep learning based language technology platform K Han, J Chen, H Zhang, H Xu, Y Peng, Y Wang, N Ding, H Deng, Y Gao, ... arXiv preprint arXiv:1908.01853, 2019 | 12 | 2019 |
Real-time verbal harassment detection system Y Lyu, K Han US Patent 11,664,043, 2023 | 10 | 2023 |
MarkerGenie: an NLP-enabled text-mining system for biomedical entity relation extraction W Gu, X Yang, M Yang, K Han, W Pan, Z Zhu Bioinformatics Advances 2 (1), vbac035, 2022 | 8 | 2022 |
The frequency-time pre-allocation in unlicensed spectrum based on the games learning K Han, J Li, P Zhu, X Wang 2007 2nd International Conference on Cognitive Radio Oriented Wireless …, 2007 | 8 | 2007 |