Xuesong Yang
Xuesong Yang
Amazon Alexa Speech
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Title
Cited by
Cited by
Year
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
502017
Speech Enhancement Using Bayesian Wavenet.
K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson
Interspeech, 2013-2017, 2017
482017
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
252011
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
162018
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
152011
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
142014
Rear vehicle body structure
M Nishikawa, M Kudo
US Patent 6,672,653, 2004
132004
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
92018
Zero-shot voice style transfer with only autoencoder loss
K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson
arXiv preprint arXiv:1905.05879, 2019
62019
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
62018
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
52017
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
42016
Landmark-Based Pronunciation Error Identification on Chinese Learning
X Yang, X Kong, M Hasegawa-Johnson, Y Xie
Speech Prosody, 2016, 2016
42016
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
32018
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
32017
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
22019
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
22018
Machine learning approaches to improving mispronunciation detection on an imbalanced corpus
X Yang
2015
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