Tian Tan
Tian Tan
AISpeech
Verified email at aispeech.com
Title
Cited by
Cited by
Year
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
2462016
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
1172014
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
972015
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
762015
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
492016
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
482018
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
382016
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
322016
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
302016
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
242018
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
242016
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
202016
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
182018
Data augmentation using generative adversarial networks for robust speech recognition
Y Qian, H Hu, T Tan
Speech Communication 114, 1-9, 2019
162019
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, 219-243, 2017
142017
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
122016
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
112018
Resa: realtime elastic streaming analytics in the cloud
T Tan, RTB Ma, M Winslett, Y Yang, Y Yu, Z Zhang
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
92013
Data augmentation using conditional generative adversarial networks for robust speech recognition
P Sheng, Z Yang, H Hu, T Tan, Y Qian
2018 11th International Symposium on Chinese Spoken Language Processing …, 2018
62018
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
32021
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