World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
15242
World Ranking
3223
National Ranking
1564

Overview

Jinyu Li is affiliated with Microsoft in the United States and specializes in the field of computer science, with a strong focus on artificial intelligence and signal processing. Their research contributions span multiple subfields including artificial intelligence, signal processing, computer vision and pattern recognition, biomedical engineering, and experimental and cognitive psychology.

The major topics of Jinyu Li's work include speech recognition and synthesis, speech and audio processing, music and audio processing, natural language processing techniques, topic modeling, speech and dialogue systems, and phonetics and phonology research.

Jinyu Li has authored numerous papers in various reputable venues. Some recent publications are:

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing, 2022, IEEE Journal of Selected Topics in Signal Processing
  • Recent Advances in End-to-End Automatic Speech Recognition, 2022, APSIPA Transactions on Signal and Information Processing
  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers, 2023, arXiv (Cornell University)
  • SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview, 2020, IEEE Open Journal of Signal Processing

The scientist frequently publishes in venues such as arXiv (Cornell University), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Interspeech 2022, IEEE/ACM Transactions on Audio Speech and Language Processing, and IEEE Journal of Selected Topics in Signal Processing.

Jinyu Li often collaborates with other researchers including Shujie Liu, Naoyuki Kanda, Furu Wei, Long Zhou, and Yashesh Gaur, with multiple coauthored papers reflecting their collaborative work.

Best Publications

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

    Jui-Ting Huang;Jinyu Li;Dong Yu;Li Deng

  • An overview of noise-robust automatic speech recognition

    Jinyu Li;Li Deng;Yifan Gong;Reinhold Haeb-Umbach

  • Restructuring of Deep Neural Network Acoustic Models with Singular Value Decomposition

    Jian Xue;Jinyu Li;Yifan Gong

  • Recent Advances in End-to-End Automatic Speech Recognition.

    Jinyu Li

  • Learning small-size DNN with output-distribution-based criteria.

    Jinyu Li;Rui Zhao;Jui-Ting Huang;Yifan Gong

  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

    Unknown

  • Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks

    Dong Yu;Michael L. Seltzer;Jinyu Li;Jui-Ting Huang

  • Continuous Speech Separation: Dataset and Analysis

    Zhuo Chen;Takuya Yoshioka;Liang Lu;Tianyan Zhou

  • End-to-End attention based text-dependent speaker verification

    Shi-Xiong Zhang;Zhuo Chen;Yong Zhao;Jinyu Li

  • Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network

    Jian Xue;Jinyu Li;Dong Yu;Mike Seltzer

  • Improving RNN Transducer Modeling for End-to-End Speech Recognition

    Jinyu Li;Rui Zhao;Hu Hu;Yifan Gong

  • Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset

    Xie Chen;Yu Wu;Zhenghao Wang;Shujie Liu

  • Recent progresses in deep learning based acoustic models

    Dong Yu;Jinyu Li

  • Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM

    Jinyu Li;Dong Yu;Jui-Ting Huang;Yifan Gong

  • An analysis of convolutional neural networks for speech recognition

    Jui-Ting Huang;Jinyu Li;Yifan Gong

  • High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series

    Jinyu Li;Li Deng;Dong Yu;Yifan Gong

  • Learning hidden unit contributions for unsupervised acoustic model adaptation

    Pawel Swietojanski;Jinyu Li;Steve Renals

  • Restructuring deep neural network acoustic models

    Jian Xue;Emilian Stoimenov;Jinyu Li;Yifan Gong

  • Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network

    Zhuo Chen;Xiong Xiao;Takuya Yoshioka;Hakan Erdogan

  • Large-Scale Domain Adaptation via Teacher-Student Learning.

    Jinyu Li;Michael L. Seltzer;Xi Wang;Rui Zhao

  • Fundamentals of speech recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Yifan Gong

Frequent Co-Authors

Yifan Gong
Yifan Gong Microsoft (United States)
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Li Deng
Li Deng Citadel
Dong Yu
Dong Yu Tencent (China)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Yu Wu
Yu Wu Microsoft Research Asia (China)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica

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