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Yanmin Qian
Yanmin Qian
在 sjtu.edu.cn 的电子邮件经过验证 - 首页
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The Kaldi speech recognition toolkit
D Povey, A Ghoshal, G Boulianne, L Burget, O Glembek, N Goel, ...
IEEE 2011 workshop on automatic speech recognition and understanding, 2011
73682011
Wavlm: Large-scale self-supervised pre-training for full stack speech processing
S Chen, C Wang, Z Chen, Y Wu, S Liu, Z Chen, J Li, N Kanda, T Yoshioka, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1505-1518, 2022
11752022
Very deep convolutional neural networks for noise robust speech recognition
Y Qian, M Bi, T Tan, K Yu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12 …, 2016
3892016
Deep feature for text-dependent speaker verification
Y Liu, Y Qian, N Chen, T Fu, Y Zhang, K Yu
Speech Communication 73, 1-13, 2015
2102015
Generating exact lattices in the WFST framework
D Povey, M Hannemann, G Boulianne, L Burget, A Ghoshal, M Janda, ...
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
1862012
Reshaping deep neural network for fast decoding by node-pruning
T He, Y Fan, Y Qian, T Tan, K Yu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1642014
Margin matters: Towards more discriminative deep neural network embeddings for speaker recognition
X Xiang, S Wang, H Huang, Y Qian, K Yu
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
1412019
Multi-task learning for text-dependent speaker verification
N Chen, Y Qian, K Yu
Sixteenth annual conference of the international speech communication …, 2015
1192015
MIMO-Speech: End-to-end multi-channel multi-speaker speech recognition
X Chang, W Zhang, Y Qian, J Le Roux, S Watanabe
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
1162019
Robust deep feature for spoofing detection—The SJTU system for ASVspoof 2015 challenge
N Chen, Y Qian, H Dinkel, B Chen, K Yu
Sixteenth annual conference of the international speech communication …, 2015
1052015
Large-scale self-supervised speech representation learning for automatic speaker verification
Z Chen, S Chen, Y Wu, Y Qian, C Wang, S Liu, Y Qian, M Zeng
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
1042022
Deep extractor network for target speaker recovery from single channel speech mixtures
J Wang, J Chen, D Su, L Chen, M Yu, Y Qian, D Yu
arXiv preprint arXiv:1807.08974, 2018
1032018
End-to-end multi-speaker speech recognition with transformer
X Chang, W Zhang, Y Qian, J Le Roux, S Watanabe
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1022020
CUED-RNNLM—An open-source toolkit for efficient training and evaluation of recurrent neural network language models
X Chen, X Liu, Y Qian, MJF Gales, PC Woodland
2016 IEEE international conference on acoustics, speech and signal …, 2016
1022016
Recognizing multi-talker speech with permutation invariant training
D Yu, X Chang, Y Qian
arXiv preprint arXiv:1704.01985, 2017
1012017
Overview of BTAS 2016 speaker anti-spoofing competition
P Korshunov, S Marcel, H Muckenhirn, AR Gonçalves, AGS Mello, ...
2016 IEEE 8th international conference on biometrics theory, applications …, 2016
1012016
Past review, current progress, and challenges ahead on the cocktail party problem
Y Qian, C Weng, X Chang, S Wang, D Yu
Frontiers of Information Technology & Electronic Engineering 19, 40-63, 2018
942018
End-to-end spoofing detection with raw waveform CLDNNS
H Dinkel, N Chen, Y Qian, K Yu
2017 IEEE international conference on acoustics, speech and signal …, 2017
882017
Very deep convolutional neural networks for robust speech recognition
Y Qian, PC Woodland
2016 IEEE spoken language technology workshop (SLT), 481-488, 2016
852016
Single-channel multi-talker speech recognition with permutation invariant training
Y Qian, X Chang, D Yu
Speech Communication 104, 1-11, 2018
842018
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