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Xuesong Yang
Xuesong Yang
Amazon Alexa Speech
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Cited by
Year
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
2152019
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
842017
Speech Enhancement Using Bayesian Wavenet.
K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson
Interspeech, 2013-2017, 2017
812017
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
502018
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
332019
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
302018
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
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
252018
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
192014
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
172011
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
112018
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
92017
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
92016
Landmark-Based Pronunciation Error Identification on Chinese Learning
X Yang, X Kong, M Hasegawa-Johnson, Y Xie
Speech Prosody, 2016, 2016
92016
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
82021
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
72018
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
62019
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), 3468-3468, 2017
42017
Machine learning approaches to improving mispronunciation detection on an imbalanced corpus
X Yang
2015
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