Yongqiang Wang

According to our database, Yongqiang Wang authored at least 17 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition.

Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications.

Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao

Proceedings of the IEEE International Conference on Acoustics, 2021

Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer

CoRR, 2020

Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces.

Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

CoRR, 2020

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces.

Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

Proceedings of the Interspeech 2020, 2020

Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory.

Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang

Proceedings of the Interspeech 2020, 2020

Weak-Attention Suppression for Transformer Based Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer

Proceedings of the Interspeech 2020, 2020

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition.

Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks.

Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Training ASR Models By Generation of Contextual Information.

Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention.

Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer

CoRR, 2019

Deja-vu: Double Feature Presentation in Deep Transformer Networks.

Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

CoRR, 2019

Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR.

Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen

Proceedings of the Interspeech 2019, 2019

End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder.

Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Towards End-to-end Spoken Language Understanding.

Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Yoshua Bengio

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2013

An investigation of deep neural networks for noise robust speech recognition.

Michael L. Seltzer, Dong Yu, Yongqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2013