Shuai Zhang

Orcid: 0000-0002-1094-887X

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China
  • University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China


According to our database1, Shuai Zhang authored at least 18 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Hybrid Autoregressive and Non-Autoregressive Transformer Models for Speech Recognition.
IEEE Signal Process. Lett., 2022

ADD 2022: the First Audio Deep Synthesis Detection Challenge.
CoRR, 2022

Reducing language context confusion for end-to-end code-switching automatic speech recognition.
CoRR, 2022

reducing multilingual context confusion for end-to-end code-switching automatic speech recognition.
Proceedings of the Interspeech 2022, 2022

ADD 2022: the first Audio Deep Synthesis Detection Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Integrating Knowledge Into End-to-End Speech Recognition From External Text-Only Data.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Fast End-to-End Speech Recognition Via Non-Autoregressive Models and Cross-Modal Knowledge Transferring From BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition.
CoRR, 2021

Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT.
CoRR, 2021

Rnn-transducer With Language Bias For End-to-end Mandarin-English Code-switching Speech Recognition.
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Decoupling Pronunciation and Language for End-to-End Code-Switching Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

One In A Hundred: Selecting the Best Predicted Sequence from Numerous Candidates for Speech Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Listen Attentively, and Spell Once: Whole Sentence Generation via a Non-Autoregressive Architecture for Low-Latency Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Synchronous Transformers for end-to-end Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Integrating Whole Context to Sequence-to-sequence Speech Recognition.
CoRR, 2019


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