| 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 | 211 | 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 | 83 | 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 | 82 | 2020 |
| Data augmentation using generative adversarial networks for robust speech recognition Y Qian, H Hu, T Tan Speech Communication 114, 1-9, 2019 | 67 | 2019 |
| 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 | 62 | 2018 |
| 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 | 48 | 2021 |
| 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 | 40 | 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 | 31 | 2021 |
| 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 | 29 | 2021 |
| 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 | 24 | 2020 |
| 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 | 20 | 2020 |
| Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi ... INTERSPEECH 2023, 2023 | 16* | 2023 |
| 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 | 16 | 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 | 15 | 2018 |
| 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 | 14 | 2021 |
| Pre-training with alignments for recurrent neural network transducer based end-to-end speech recognition Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong, Hu Hu US Patent 11,657,799, 2023 | 13 | 2023 |
| 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 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 2 (3), 2021 | 11 | 2021 |
| 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 | 10 | 2020 |
| A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer H Hu, SM Siniscalchi, CHH Yang, CH Lee ICASSP 2022, 2022 | 7 | 2022 |
Chin-Hui LeeGeorgia TechEmail yang diverifikasi di ece.gatech.edu