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 | 134 | 2019 |
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 | 64 | 2018 |
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 | 51 | 2020 |
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 | 42 | 2018 |
Data augmentation using generative adversarial networks for robust speech recognition Y Qian, H Hu, T Tan Speech Communication 114, 1-9, 2019 | 33 | 2019 |
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 | 30 | 2020 |
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 | 25 | 2021 |
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 | 15 | 2020 |
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 | 15 | 2020 |
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 | 14 | 2021 |
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 | 13 | 2020 |
A lottery ticket hypothesis framework for low-complexity device-robust neural acoustic scene classification H Yen, CHH Yang, H Hu, SM Siniscalchi, Q Wang, Y Wang, X Xia, Y Zhao, ... arXiv preprint arXiv:2107.01461, 2021 | 12 | 2021 |
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 | 12 | 2018 |
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 | 10 | 2018 |
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 | 8 | 2020 |
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 | 7 | 2021 |
A study of low-resource speech commands recognition based on adversarial reprogramming H Yen, PJ Ku, CH Huck Yang, H Hu, SM Siniscalchi, PY Chen, Y Tsao arXiv e-prints, arXiv: 2110.03894, 2021 | 5 | 2021 |
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. IEEE Int. Conf. Acoust., Speech, Signal Process., 7504-7508, 2020 | 5 | 2020 |
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer H Hu, SM Siniscalchi, CHH Yang, CH Lee ICASSP 2022, 2021 | 1 | 2021 |
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 | 1 | 2020 |