Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition Y Qian, M Bi, T Tan, K Yu IEEE/ACM Transactions on Audio, Speech and Language Processing 24, 2263-2276, 2016 | 394 | 2016 |
Reshaping deep neural network for fast decoding by node-pruning T He, Y Fan, Y Qian, T Tan, K Yu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 169 | 2014 |
Salmonn: Towards generic hearing abilities for large language models C Tang, W Yu, G Sun, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang arXiv preprint arXiv:2310.13289, 2023 | 124 | 2023 |
Recurrent neural network language model adaptation for multi-genre broadcast speech recognition X Chen, T Tan, X Liu, P Lanchantin, M Wan, MJF Gales, PC Woodland Proceedings of ISCA Interspeech, 3511-3515, 2015 | 111 | 2015 |
Cluster adaptive training for deep neural network T Tan, Y Qian, M Yin, Y Zhuang, K Yu Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 84 | 2015 |
Adaptive very deep convolutional residual network for noise robust speech recognition T Tan, Y Qian, H Hu, Y Zhou, W Ding, K Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1393 …, 2018 | 82 | 2018 |
Generative adversarial networks based data augmentation for noise robust speech recognition H Hu, T Tan, Y Qian 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 62 | 2018 |
Data augmentation using generative adversarial networks for robust speech recognition Y Qian, H Hu, T Tan Speech Communication 114, 1-9, 2019 | 61 | 2019 |
Cluster Adaptive Training for Deep Neural Network Based Acoustic Model T Tan, Y Qian, K Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, 459-468, 2016 | 53 | 2016 |
Speaker-aware training of LSTM-RNNS for acoustic modelling T Tan, Y Qian, D Yu, S Kundu, L Lu, K Chai SIM, X Xiao, Y Zhang Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 52 | 2016 |
An investigation into using parallel data for far-field speech recognition Y Qian, T Tan, D Yu Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 37 | 2016 |
Joint acoustic factor learning for robust deep neural network based automatic speech recognition S Kundu, G Mantena, Y Qian, T Tan, M Delcroix, KC Sim Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 33 | 2016 |
Connecting speech encoder and large language model for asr W Yu, C Tang, G Sun, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 29 | 2024 |
Neural Network Based Multi-Factor Aware Joint Training for Robust Speech Recognition Y Qian, T Tan, Y Dong IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, 2231-2240, 2016 | 29 | 2016 |
Knowledge transfer in permutation invariant training for single-channel multi-talker speech recognition T Tan, Y Qian, D Yu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 28 | 2018 |
Phone-aware LSTM-RNN for voice conversion J Lai, B Chen, T Tan, S Tong, K Yu Signal Processing (ICSP), 2016 IEEE 13th International Conference on, 177--182, 2016 | 22 | 2016 |
Integrated adaptation with multi-factor joint-learning for far-field speech recognition Y Qian, T Tan, D Yu, Y Zhang Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 22 | 2016 |
Adaptation of deep neural network acoustic models for robust automatic speech recognition KC Sim, Y Qian, G Mantena, L Samarakoon, S Kundu, T Tan New Era for Robust Speech Recognition: Exploiting Deep Learning, 219-243, 2017 | 17 | 2017 |
Aispeech-sjtu asr system for the accented english speech recognition challenge T Tan, Y Lu, R Ma, S Zhu, J Guo, Y Qian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
Noise robust speech recognition on aurora4 by humans and machines Y Qian, T Tan, H Hu, Q Liu 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 16 | 2018 |