Seguir
Tian Tan
Tian Tan
AISpeech
Dirección de correo verificada de aispeech.com
Título
Citado por
Citado por
Año
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
3742016
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
1602014
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
1102015
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
822018
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
822015
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
582018
Data augmentation using generative adversarial networks for robust speech recognition
Y Qian, H Hu, T Tan
Speech Communication 114, 1-9, 2019
572019
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
522016
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
512016
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
362016
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
332016
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
282016
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
242018
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
222016
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
202016
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
172017
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
162021
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
162018
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
132018
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
102013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20