World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7668
World Ranking
8367
National Ranking
1091

Overview

Yanmin Qian is affiliated with Shanghai Jiao Tong University in China. Their research primarily focuses on fields within computer science, with notable work in artificial intelligence, signal processing, computer vision and pattern recognition, computational mechanics, and pharmacy.

The scientist's work extensively covers topics related to speech and audio processing. These include:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Dialogue Systems
  • Advanced Adaptive Filtering Techniques

Yanmin Qian has contributed to a substantial number of publications in prominent venues, indicating an active research profile. The most frequent publication venues consist of:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP)

Recent papers authored or co-authored by Yanmin Qian include:

  • "WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing," 2022, IEEE Journal of Selected Topics in Signal Processing
  • "Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Audio-Visual Deep Neural Network for Robust Person Verification," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Modified Magnitude-Phase Spectrum Information for Spoofing Detection," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

The scientist frequently collaborates with a range of co-authors, including Zhengyang Chen, Wangyou Zhang, Shinji Watanabe, Chenda Li, and Shujie Liu, reflecting ongoing cooperative research efforts within their areas of specialization.

Best Publications

  • The Kaldi Speech Recognition Toolkit

    Daniel Povey;Arnab Ghoshal;Gilles Boulianne;Lukas Burget

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

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition

    Yanmin Qian;Mengxiao Bi;Tian Tan;Kai Yu

  • Deep feature for text-dependent speaker verification

    Yuan Liu;Yanmin Qian;Nanxin Chen;Tianfan Fu

  • Generating exact lattices in the WFST framework

    Daniel Povey;Mirko Hannemann;Gilles Boulianne;Lukas Burget

  • Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

    Xu Xiang;Shuai Wang;Houjun Huang;Yanmin Qian

  • Reshaping deep neural network for fast decoding by node-pruning

    Tianxing He;Yuchen Fan;Yanmin Qian;Tian Tan

  • Multi-task learning for text-dependent speaker verification.

    Nanxin Chen;Yanmin Qian;Kai Yu

  • Recognizing Multi-talker Speech with Permutation Invariant Training

    Dong Yu;Xuankai Chang;Yanmin Qian

  • Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit

    Unknown

  • MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition

    Xuankai Chang;Wangyou Zhang;Yanmin Qian;Jonathan Le Roux

  • CUED-RNNLM — An open-source toolkit for efficient training and evaluation of recurrent neural network language models

    X. Chen;X. Liu;Y. Qian;M. J. F. Gales

  • Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures

    Jun Wang;Jie Chen;Dan Su;Lianwu Chen

  • Robust deep feature for spoofing detection - the SJTU system for ASVspoof 2015 challenge.

    Nanxin Chen;Yanmin Qian;Heinrich Dinkel;Bo Chen

  • End-To-End Multi-Speaker Speech Recognition With Transformer

    Xuankai Chang;Wangyou Zhang;Yanmin Qian;Jonathan Le Roux

  • Overview of BTAS 2016 speaker anti-spoofing competition

    P. Korshunov;S. Marcel;H. Muckenhirn;A. R. Goncalves

  • Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification.

    Zhengyang Chen;Sanyuan Chen;Yu Wu;Yao Qian

  • Past review, current progress, and challenges ahead on the cocktail party problem

    Yan-min Qian;Chao Weng;Xuan-kai Chang;Shuai Wang

  • Deep features for automatic spoofing detection

    Yanmin Qian;Nanxin Chen;Kai Yu

  • Cluster adaptive training for deep neural network

    Tian Tan;Yanmin Qian;Maofan Yin;Yimeng Zhuang

  • Single-channel multi-talker speech recognition with permutation invariant training

    Yanmin Qian;Xuankai Chang;Dong Yu

  • Very deep convolutional neural networks for robust speech recognition

    Yanmin Qian;Philip C Woodland

Frequent Co-Authors

Kai Yu
Kai Yu Shanghai Jiao Tong University
Dong Yu
Dong Yu Tencent (China)
Philip C. Woodland
Philip C. Woodland University of Cambridge
Mark J. F. Gales
Mark J. F. Gales University of Cambridge
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Marc Delcroix
Marc Delcroix NTT (Japan)
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn

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