An investigation of deep neural networks for noise robust speech recognition. - Michael L. Seltzer; Dong Yu 001; Yongqiang Wang 005 (ICASSP, 2013)

Towards End-to-end Spoken Language Understanding. - Dmitriy Serdyuk; Yongqiang Wang 005; Christian Fuegen; Anuj Kumar; Baiyang Liu; Yoshua Bengio (ICASSP, 2018)

End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder. - Zhehuai Chen; Mahaveer Jain; Yongqiang Wang 005; Michael L. Seltzer; Christian Fuegen (ICASSP, 2019)

Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR. - Zhehuai Chen; Mahaveer Jain; Yongqiang Wang 005; Michael L. Seltzer; Christian Fuegen (INTERSPEECH, 2019)

Deja-vu: Double Feature Presentation in Deep Transformer Networks. - Andros Tjandra; Chunxi Liu; Frank Zhang 001; Xiaohui Zhang 007; Yongqiang Wang 005; Gabriel Synnaeve; Satoshi Nakamura 001; Geoffrey Zweig (CoRR, 2019)

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. - Ching-Feng Yeh; Jay Mahadeokar; Kaustubh Kalgaonkar; Yongqiang Wang 005; Duc Le; Mahaveer Jain; Kjell Schubert; Christian Fuegen; Michael L. Seltzer (CoRR, 2019)

Training ASR Models By Generation of Contextual Information. - Kritika Singh; Dmytro Okhonko; Jun Liu; Yongqiang Wang 005; Frank Zhang 001; Ross B. Girshick; Sergey Edunov; Fuchun Peng; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ICASSP, 2020)

DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. - Andros Tjandra; Chunxi Liu; Frank Zhang 001; Xiaohui Zhang 007; Yongqiang Wang 005; Gabriel Synnaeve; Satoshi Nakamura 001; Geoffrey Zweig (ICASSP, 2020)

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. - Yongqiang Wang 005; Abdelrahman Mohamed; Duc Le; Chunxi Liu; Alex Xiao; Jay Mahadeokar; Hongzhao Huang; Andros Tjandra; Xiaohui Zhang 007; Frank Zhang 001; Christian Fuegen; Geoffrey Zweig; et al. (ICASSP, 2020)

Weak-Attention Suppression for Transformer Based Speech Recognition. - Yangyang Shi; Yongqiang Wang 005; Chunyang Wu; Christian Fuegen; Frank Zhang 001; Duc Le; Ching-Feng Yeh; Michael L. Seltzer (INTERSPEECH, 2020)

Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory. - Chunyang Wu; Yongqiang Wang 005; Yangyang Shi; Ching-Feng Yeh; Frank Zhang 001 (INTERSPEECH, 2020)

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. - Frank Zhang 001; Yongqiang Wang 005; Xiaohui Zhang 007; Chunxi Liu; Yatharth Saraf; Geoffrey Zweig (INTERSPEECH, 2020)

Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. - Frank Zhang 001; Yongqiang Wang 005; Xiaohui Zhang 007; Chunxi Liu; Yatharth Saraf; Geoffrey Zweig (CoRR, 2020)

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. - Yangyang Shi; Yongqiang Wang 005; Chunyang Wu; Ching-Feng Yeh; Julian Chan; Frank Zhang 001; Duc Le; Michael L. Seltzer (CoRR, 2020)

Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition. - Yangyang Shi; Yongqiang Wang 005; Chunyang Wu; Ching-Feng Yeh; Julian Chan; Frank Zhang 001; Duc Le; Mike Seltzer (ICASSP, 2021)

Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications. - Yongqiang Wang 005; Yangyang Shi; Frank Zhang 001; Chunyang Wu; Julian Chan; Ching-Feng Yeh; Alex Xiao (ICASSP, 2021)

Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition. - Ching-Feng Yeh; Yongqiang Wang 005; Yangyang Shi; Chunyang Wu; Frank Zhang 001; Julian Chan; Michael L. Seltzer (SLT, 2021)