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Xie Chen
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Feature Engineering in Context-Dependent Deep Neural Networks for Conversational Speech Transcription
F Seide, G Li, X Chen, D Yu
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 24-29, 2011
7872011
Memory-efficient pipeline-parallel DNN training
D Narayanan, A Phanishayee, K Shi, X Chen, M Zaharia
ICML 2021, 2021
2252021
Developing real-time streaming transformer transducer for speech recognition on large-scale dataset
X Chen, Y Wu, Z Wang, S Liu, J Li
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
2092021
Deep neural networks training for speech and pattern recognition
F Seide, G Li, D Yu, A Eversole, X Chen
US Patent 9,477,925, 2016
1612016
Efficient Lattice Rescoring using Recurrent Neural Network Language Models
X Liu, Y Wang, X Chen, MJF Gales, PC Woodland
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1142014
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
Sixteenth Annual Conference of the International Speech Communication …, 2015
1122015
Internal language model estimation for domain-adaptive end-to-end speech recognition
Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021
1112021
Pipelined Back-Propagation for Context-Dependent Deep Neural Networks
X Chen, A Eversole, G Li, D Yu, F Seide
Thirteenth Annual Conference of the International Speech Communication …, 2012
1082012
Recurrent Neural Network Language Model Training with Noise Contrastive Estimation for Speech Recognition
X Chen, X Liu, MJF Gales, PC Woodland
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
1072015
CUED-RNNLM–An Open-Source Toolkit for Efficient Training and Evaluation of Recurrent Neural Network Language Models
X Chen, X Liu, Y Qian, MJF Gales, PC Woodland
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1042016
Neural Network Language Modeling with Letter-based Features and Importance Sampling
H Xu, K Li, Y Wang, J Wang, S Kang, X Chen, D Povey, S Khudanpur
2018 IEEE international conference on acoustics, speech and signal …, 2018
902018
Efficient GPU-based Training of Recurrent Neural Network Language Models using Spliced Sentence Bunch
X Chen, Y Wang, X Liu, MJF Gales, PC Woodland
Fifteenth Annual Conference of the International Speech Communication …, 2014
822014
Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition
X Chen, X Liu, Y Wang, MJF Gales, P Woodland
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016
792016
Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models
X Liu, X Chen, Y Wang, M Gales, P Woodland
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016
672016
VQTTS: high-fidelity text-to-speech synthesis with self-supervised VQ acoustic feature
C Du, Y Guo, X Chen, K Yu
Proc. Interspeech 2022, 2022
622022
Internal language model training for domain-adaptive end-to-end speech recognition
Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ...
2021 IEEE International Conference on Acoustics, Speech and Signal …, 2021
552021
Investigating bidirectional recurrent neural network language models for speech recognition
X Chen, A Ragni, X Liu, MJF Gales
Proceedings of Interspeech 2017, 269-273, 2017
542017
emotion2vec: Self-supervised pre-training for speech emotion representation
Z Ma, Z Zheng, J Ye, J Li, Z Gao, S Zhang, X Chen
Findings of ACL, 2024
482024
Improving the Training and Evaluation Efficiency of Recurrent Neural Network Language Models
X Chen, X Liu, MJF Gales, PC Woodland
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
422015
Dae-talker: High fidelity speech-driven talking face generation with diffusion autoencoder
C Du, Q Chen, T He, X Tan, X Chen, K Yu, S Zhao, J Bian
Proceedings of the 31st ACM International Conference on Multimedia, 4281-4289, 2023
412023
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