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Hu Hu
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Year
Improving RNN transducer modeling for end-to-end speech recognition
J Li, R Zhao, H Hu, Y Gong
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
1102019
Adaptive very deep convolutional residual network for noise robust speech recognition
T Tan, Y Qian, H Hu, Y Zhou, W Ding, K Yu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1393 …, 2018
602018
Device-robust acoustic scene classification based on two-stage categorization and data augmentation
H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ...
Detection and Classification of Acoustic Scenes and Events (DCASE) 2020, 2020
442020
Generative adversarial networks based data augmentation for noise robust speech recognition
H Hu, T Tan, Y Qian
2018 IEEE international conference on acoustics, speech and signal …, 2018
352018
Exploring pre-training with alignments for rnn transducer based end-to-end speech recognition
H Hu, R Zhao, J Li, L Lu, Y Gong
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
262020
Data augmentation using generative adversarial networks for robust speech recognition
Y Qian, H Hu, T Tan
Speech Communication 114, 1-9, 2019
232019
A two-stage approach to device-robust acoustic scene classification
H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
162021
Exploring deep hybrid tensor-to-vector network architectures for regression based speech enhancement
J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee
Interspeech 2020, 2020
132020
Tensor-to-vector regression for multi-channel speech enhancement based on tensor-train network
J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
132020
Noise robust speech recognition on aurora4 by humans and machines
Y Qian, T Tan, H Hu, Q Liu
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
L-vector: Neural label embedding for domain adaptation
Z Meng, H Hu, J Li, C Liu, Y Huang, Y Gong, CH Lee
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
112020
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
H Hu, SM Siniscalchi, Y Wang, CH Lee
Interspeech 2020, 2020
92020
Data augmentation using conditional generative adversarial networks for robust speech recognition
P Sheng, Z Yang, H Hu, T Tan, Y Qian
2018 11th International Symposium on Chinese Spoken Language Processing …, 2018
92018
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
A lottery ticket hypothesis framework for low-complexity device-robust neural acoustic scene classification
CHH Yang, H Hu, SM Siniscalchi, Q Wang, Y Wang, X Xia, Y Zhao, Y Wu, ...
arXiv preprint arXiv:2107.01461, 2021
72021
Tensor-train network based tensor-to-vector regression for multi-channel speech enhancement
J Qi, H Hu, Y Wang, CH Yang, SM Siniscalchi, CH Lee
Proc. International Conference on Acoustics, Speech, and Signal Processing …, 2020
52020
A MODEL ENSEMBLE APPROACH FOR AUDIO-VISUAL SCENE CLASSIFICATION
Q Wang, S Zheng, Y Li, Y Wang, Y Wu, H Hu, CHH Yang, SM Siniscalchi, ...
Detection and Classification of Acoustic Scenes and Events (DCASE) 2021, 2021
42021
A study of low-resource speech commands recognition based on adversarial reprogramming
H Yen, PJ Ku, CHH Yang, H Hu, SM Siniscalchi, PY Chen, Y Tsao
arXiv preprint arXiv:2110.03894, 2021
22021
An acoustic segment model based segment unit selection approach to acoustic scene classification with partial utterances
H Hu, SM Siniscalchi, Y Wang, X Bai, J Du, CH Lee
Interspeech 2020, 2020
22020
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
Q Wang, J Du, S Zheng, Y Li, Y Wang, Y Wu, H Hu, CHH Yang, ...
arXiv preprint arXiv:2203.04114, 2022
2022
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