Frank Zhang 0001 - researchr alias

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Viewing Publication 1 - 8 from 8

2022

2021

Improving RNN Transducer Based ASR with Auxiliary TasksChunxi Liu, Frank Zhang 0001, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig. slt 2021: 172-179 [doi]

Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech RecognitionYangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-feng Yeh, Julian Chan, Frank Zhang 0001, Duc Le, Mike Seltzer. icassp 2021: 6783-6787 [doi]

Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition ApplicationsYongqiang Wang, Yangyang Shi, Frank Zhang 0001, Chunyang Wu, Julian Chan, Ching-feng Yeh, Alex Xiao. icassp 2021: 6778-6782 [doi]

Streaming Attention-Based Models with Augmented Memory for End-To-End Speech RecognitionChing-feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang 0001, Julian Chan, Michael L. Seltzer. slt 2021: 8-14 [doi]

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR ModelsXiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang 0001, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer. asru 2021: 1026-1033 [doi]

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASRXiaohui Zhang, Frank Zhang 0001, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig. slt 2021: 46-51 [doi]

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