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Xuesong Yang
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Autovc: Zero-shot voice style transfer with only autoencoder loss
K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson
International Conference on Machine Learning, 5210-5219, 2019
4902019
End-to-end joint learning of natural language understanding and dialogue manager
X Yang, YN Chen, D Hakkani-Tür, P Crook, X Li, J Gao, L Deng
2017 IEEE international conference on acoustics, speech and signal …, 2017
1002017
Speech Enhancement Using Bayesian Wavenet.
K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson
Interspeech, 2013-2017, 2017
992017
Joint modeling of accents and acoustics for multi-accent speech recognition
X Yang, K Audhkhasi, A Rosenberg, S Thomas, B Ramabhadran, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
862018
Joint language understanding and dialogue management using binary classification based on forward and backward recurrent neural network
X Li, PA Crook, L Deng, J Gao, YN Chen, X Yang
US Patent 10,268,679, 2019
542019
Convolutional neural network‐based multi‐label classification of PCB defects
L Zhang, Y Jin, X Yang, X Li, X Duan, Y Sun, H Liu
The Journal of Engineering 2018 (16), 1612-1616, 2018
522018
Deep learning based speech beamforming
K Qian, Y Zhang, S Chang, X Yang, D Florencio, M Hasegawa-Johnson
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
452018
Redat: Accent-invariant representation for end-to-end asr by domain adversarial training with relabeling
H Hu, X Yang, Z Raeesy, J Guo, G Keskin, H Arsikere, A Rastrow, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
282021
Improvement of segmental mispronunciation detection with prior knowledge extracted from large L2 speech corpus
D Luo, X Yang, L Wang
Twelfth Annual Conference of the International Speech Communication Association, 2011
282011
Sound source localization for mobile robot based on time difference feature and space grid matching
X Li, H Liu, X Yang
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
222011
Machine learning approaches to improving pronunciation error detection on an imbalanced corpus
X Yang, A Loukina, K Evanini
IEEE Spoken Language Technology Workshop, South Lake Tahoe, USA, 300-305, 2014
212014
Acoustic landmarks contain more information about the phone string than other frames for automatic speech recognition with deep neural network acoustic model
D He, BP Lim, X Yang, M Hasegawa-Johnson, D Chen
The Journal of the Acoustical Society of America 143 (6), 3207-3219, 2018
142018
When CTC training meets acoustic landmarks
D He, X Yang, BP Lim, Y Liang, M Hasegawa-Johnson, D Chen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
102019
A study on landmark detection based on CTC and its application to pronunciation error detection
C Niu, J Zhang, X Yang, Y Xie
Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2017
102017
Landmark-based consonant voicing detection on multilingual corpora
X Kong, X Yang, M Hasegawa-Johnson, JY Choi, S Shattuck-Hufnagel
arXiv preprint arXiv:1611.03533, 2016
102016
Improved ASR for under-resourced languages through multi-task learning with acoustic landmarks
D He, BP Lim, X Yang, M Hasegawa-Johnson, D Chen
arXiv preprint arXiv:1805.05574, 2018
92018
Landmark-Based Pronunciation Error Identification on Chinese Learning
X Yang, X Kong, M Hasegawa-Johnson, Y Xie
Speech Prosody, 2016, 2016
92016
Selecting frames for automatic speech recognition based on acoustic landmarks
D He, BPP Lim, X Yang, M Hasegawa-Johnson, D Chen
The Journal of the Acoustical Society of America 141 (5_Supplement), 3468-3468, 2017
42017
Machine learning approaches to improving mispronunciation detection on an imbalanced corpus
X Yang
University of Illinois at Urbana-Champaign, 2015
12015
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