| Complex spectrogram enhancement by convolutional neural network with multi-metrics learning SW Fu, T Hu, Y Tsao, X Lu 2017 IEEE 27th international workshop on machine learning for signal …, 2017 | 192 | 2017 |
| Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. H Lee, T Hu, H Jing, YF Chang, Y Tsao, YC Kao, TL Pao INTERSPEECH, 215-219, 2013 | 43 | 2013 |
| Unsupervised style and content separation by minimizing mutual information for speech synthesis TY Hu, A Shrivastava, O Tuzel, C Dhir ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 34 | 2020 |
| Synt++: Utilizing imperfect synthetic data to improve speech recognition TY Hu, M Armandpour, A Shrivastava, JHR Chang, H Koppula, O Tuzel ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 29 | 2022 |
| Learning context-aware sparse representation for single image super-resolution MC Yang, CH Wang, TY Hu, YCF Wang 2011 18th IEEE International Conference on Image Processing, 1349-1352, 2011 | 27 | 2011 |
| Sapaugment: Learning a sample adaptive policy for data augmentation TY Hu, A Shrivastava, JHR Chang, H Koppula, S Braun, K Hwang, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Project RISE: Recognizing industrial smoke emissions YC Hsu, THK Huang, TY Hu, P Dille, S Prendi, R Hoffman, A Tsuhlares, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14813 …, 2021 | 19 | 2021 |
| Minding the gaps in a video action analysis pipeline J Chen, J Liu, J Liang, TY Hu, W Ke, W Barrios, D Huang, AG Hauptmann 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW), 41-46, 2019 | 12 | 2019 |
| Ensemble of machine learning algorithms for cognitive and physical speaker load detection H Jing, TY Hu, HS Lee, WC Chen, CC Lee, Y Tsao, HM Wang Fifteenth Annual Conference of the International Speech Communication …, 2014 | 10 | 2014 |
| Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation Y Tsao, X Lu, P Dixon, T Hu, S Matsuda, C Hori Computer Speech & Language 28 (3), 709-726, 2014 | 9 | 2014 |
| Statistical distance metric learning for image set retrieval TY Hu, AG Hauptmann ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| Subspace representation learning for few-shot image classification TY Hu, ZQ Cheng, AG Hauptmann arXiv preprint arXiv:2105.00379, 2021 | 5 | 2021 |
| Multi-shot person re-identification through set distance with visual distributional representation TY Hu, AG Hauptmann Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019 | 5 | 2019 |
| Pose guided person image generation with hidden p-norm regression TY Hu, AG Hauptmann 2021 IEEE International Conference on Image Processing (ICIP), 2423-2427, 2021 | 3 | 2021 |
| Ensemble environment modeling using affine transform group Y Tsao, P Lin, T Hu, X Lu Speech Communication 68, 55-68, 2015 | 3 | 2015 |
| Automatic transcription for music with two timbres from monaural sound source YS Wang, TY Hu, SK Jeng 2010 IEEE International Symposium on Multimedia, 314-317, 2010 | 3 | 2010 |
| Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis K Yang, TY Hu, JHR Chang, HS Koppula, O Tuzel ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Discriminative Fuzzy Clustering Maximum a Posterior Linear Regression for Speaker Adaptation. T Hu, Y Tsao, L Lee INTERSPEECH, 567-570, 2012 | 2 | 2012 |
| Learning of context-aware single image super-resolution MC Yang, TY Hu, CH Wang, YCF Wang 2011 Visual Communications and Image Processing (VCIP), 1-4, 2011 | 2 | 2011 |
| I see what you hear: a vision-inspired method to localize words M Samragh, A Kundu, TY Hu, A Chadha, A Srivastava, M Cho, O Tuzel, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
