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Chung-Cheng Chiu
Chung-Cheng Chiu
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Zitiert von
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Specaugment: A simple data augmentation method for automatic speech recognition
DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le
arXiv preprint arXiv:1904.08779, 2019
42732019
Conformer: Convolution-augmented transformer for speech recognition
A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ...
arXiv preprint arXiv:2005.08100, 2020
33442020
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22132023
State-of-the-art speech recognition with sequence-to-sequence models
CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
14752018
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7022024
W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training
YA Chung, Y Zhang, W Han, CC Chiu, J Qin, R Pang, Y Wu
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
4302021
Pushing the limits of semi-supervised learning for automatic speech recognition
Y Zhang, J Qin, DS Park, W Han, CC Chiu, R Pang, QV Le, Y Wu
arXiv preprint arXiv:2010.10504, 2020
3752020
Contextnet: Improving convolutional neural networks for automatic speech recognition with global context
W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu
arXiv preprint arXiv:2005.03191, 2020
3232020
Monotonic chunkwise attention
CC Chiu, C Raffel
arXiv preprint arXiv:1712.05382, 2017
3082017
Improved noisy student training for automatic speech recognition
DS Park, Y Zhang, Y Jia, W Han, CC Chiu, B Li, Y Wu, QV Le
arXiv preprint arXiv:2005.09629, 2020
2732020
Google usm: Scaling automatic speech recognition beyond 100 languages
Y Zhang, W Han, J Qin, Y Wang, A Bapna, Z Chen, N Chen, B Li, ...
arXiv preprint arXiv:2303.01037, 2023
2612023
A streaming on-device end-to-end model surpassing server-side conventional model quality and latency
TN Sainath, Y He, B Li, A Narayanan, R Pang, A Bruguier, S Chang, W Li, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2302020
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
2142019
Monotonic infinite lookback attention for simultaneous machine translation
N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ...
arXiv preprint arXiv:1906.05218, 2019
1992019
A comparison of techniques for language model integration in encoder-decoder speech recognition
S Toshniwal, A Kannan, CC Chiu, Y Wu, TN Sainath, K Livescu
2018 IEEE spoken language technology workshop (SLT), 369-375, 2018
1942018
Minimum word error rate training for attention-based sequence-to-sequence models
R Prabhavalkar, TN Sainath, Y Wu, P Nguyen, Z Chen, CC Chiu, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
1922018
Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition
Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022
1892022
Leveraging weakly supervised data to improve end-to-end speech-to-text translation
Y Jia, M Johnson, W Macherey, RJ Weiss, Y Cao, CC Chiu, N Ari, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1802019
Two-pass end-to-end speech recognition
TN Sainath, R Pang, D Rybach, Y He, R Prabhavalkar, W Li, M Visontai, ...
arXiv preprint arXiv:1908.10992, 2019
1702019
Self-supervised learning with random-projection quantizer for speech recognition
CC Chiu, J Qin, Y Zhang, J Yu, Y Wu
International Conference on Machine Learning, 3915-3924, 2022
1672022
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