Chengzhu Yu (俞承柱)
Chengzhu Yu (俞承柱)
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The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices
T Yoshioka, N Ito, M Delcroix, A Ogawa, K Kinoshita, M Fujimoto, C Yu, ...
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
DurIAN: Duration Informed Attention Network For Speech Synthesis
C Yu, H Lu, N Hu, M Yu, C Weng, K Xu, P Liu, D Tuo, S Kang, G Lei, D Su, ...
Interspeech 2020, 2027-2031, 2020
An Investigation of Deep-Learning Frameworks for Speaker Verification Antispoofing
C Zhang, C Yu, JHL Hansen
IEEE Journal of Selected Topics in Signal Processing 11 (4), 684-694, 2017
Advances in all-neural speech recognition
G Zweig, C Yu, J Droppo, A Stolcke
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition.
C Weng, J Cui, G Wang, J Wang, C Yu, D Su, D Yu
Interspeech, 761-765, 2018
Uncertainty propagation in front end factor analysis for noise robust speaker recognition
C Yu, G Liu, S Hahm, JHL Hansen
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the Moon.
JHL Hansen, A Sangwan, A Joglekar, AE Bulut, L Kaushik, C Yu
Interspeech, 2758-2762, 2018
Context adaptive deep neural networks for fast acoustic model adaptation in noisy conditions
M Delcroix, K Kinoshita, C Yu, A Ogawa, T Yoshioka, T Nakatani
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification
Y Zhang, M Yu, N Li, C Yu, J Cui, D Yu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
The 2019 inaugural fearless steps challenge: A giant leap for naturalistic audio
JHL Hansen, A Joglekar, MC Shekhar, V Kothapally, C Yu, L Kaushik, ...
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
CK Yeh, J Chen, C Yu, D Yu
arXiv preprint arXiv:1812.09323, 2018
Pitchnet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network
C Deng, C Yu, H Lu, C Weng, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Active Learning Based Constrained Clustering For Speaker Diarization
C Yu, JHL Hansen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017
'houston, we have a solution': using NASA apollo program to advance speech and language processing technology.
A Sangwan, L Kaushik, C Yu, JHL Hansen, DW Oard
INTERSPEECH, 1135-1139, 2013
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition
C Weng, C Yu, J Cui, C Zhang, D Yu
arXiv preprint arXiv:1911.12487, 2019
Duration informed attention network for text-to-speech analysis
YU Chengzhu, H Lu, D Yu
US Patent 11,468,879, 2022
DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System
L Zhang, C Yu, H Lu, C Weng, C Zhang, Y Wu, X Xie, Z Li, D Yu
arXiv preprint arXiv:2008.03009, 2020
Robust i-vector extraction for neural network adaptation in noisy environment
C Yu, A Ogawa, M Delcroix, T Yoshioka, T Nakatani, JHL Hansen
International Speech and Communication Association, 2015
A Multistage Training Framework for Acoustic-to-Word Model.
C Yu, C Zhang, C Weng, J Cui, D Yu
Interspeech, 786-790, 2018
Language recognition using deep neural networks with very limited training data
S Ranjan, C Yu, C Zhang, F Kelly, JHL Hansen
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
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