Chengyi Wang

Affiliations:
  • Nankai University, Tianjin, China


According to our database1, Chengyi Wang authored at least 25 papers between 2019 and 2023.

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

2023
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling.
CoRR, 2023

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.
CoRR, 2023

BEATs: Audio Pre-Training with Acoustic Tokenizers.
Proceedings of the International Conference on Machine Learning, 2023

2022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.
IEEE J. Sel. Top. Signal Process., 2022

BEATs: Audio Pre-Training with Acoustic Tokenizers.
CoRR, 2022

Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training.
Proceedings of the Interspeech 2022, 2022

Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
Proceedings of the Interspeech 2022, 2022

Improving Self-Supervised Learning for Speech Recognition with Intermediate Layer Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2022

Wav2vec-Switch: Contrastive Learning from Original-Noisy Speech Pairs for Robust Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Unispeech-Sat: Universal Speech Representation Learning With Speaker Aware Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2022

Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2022

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Self-Supervised Learning for speech recognition with Intermediate layer supervision.
CoRR, 2021

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.
CoRR, 2021

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

Continuous Speech Separation with Conformer.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Continuous Speech Separation with Conformer.
CoRR, 2020

On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Low Latency End-to-End Streaming Speech Recognition with a Scout Network.
Proceedings of the Interspeech 2020, 2020

Semantic Mask for Transformer Based End-to-End Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Curriculum Pre-training for End-to-End Speech Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network.
CoRR, 2019

Source Dependency-Aware Transformer with Supervised Self-Attention.
CoRR, 2019


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