| Speech enhancement based on denoising autoencoder with multi-branched encoders C Yu, RE Zezario, SS Wang, J Sherman, YY Hsieh, X Lu, HM Wang, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2756-2769, 2020 | 25 | 2020 |
| STOI-Net: A deep learning based non-intrusive speech intelligibility assessment model RE Zezario, SW Fu, CS Fuh, Y Tsao, HM Wang 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 20 | 2020 |
| Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features RE Zezario, SW Fu, F Chen, CS Fuh, HM Wang, Y Tsao IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 54-70, 2022 | 19 | 2022 |
| Self-supervised denoising autoencoder with linear regression decoder for speech enhancement RE Zezario, T Hussain, X Lu, HM Wang, Y Tsao ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing SW Fu, CF Liao, TA Hsieh, KH Hung, SS Wang, C Yu, HC Kuo, ... 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 13 | 2020 |
| Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. RE Zezario, SW Fu, X Lu, HM Wang, Y Tsao INTERSPEECH, 3168-3172, 2019 | 7 | 2019 |
| Deep denoising autoencoder based post filtering for speech enhancement RE Zezario, JW Huang, X Lu, Y Tsao, HT Hwang, HM Wang 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 7 | 2018 |
| Speech enhancement with zero-shot model selection RE Zezario, CS Fuh, HM Wang, Y Tsao 2021 29th European Signal Processing Conference (EUSIPCO), 491-495, 2021 | 5 | 2021 |
| MBI-Net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids RE Zezario, F Chen, CS Fuh, HM Wang, Y Tsao arXiv preprint arXiv:2204.03305, 2022 | 3 | 2022 |
| Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement RE Zezario, JWC Sigalingging, T Hussain, JC Wang, Y Tsao 2019 International Symposium on Intelligent Signal Processing and …, 2019 | 2 | 2019 |
| MTI-Net: A multi-target speech intelligibility prediction model RE Zezario, S Fu, F Chen, CS Fuh, HM Wang, Y Tsao arXiv preprint arXiv:2204.03310, 2022 | 1 | 2022 |
| Investigation of a single-channel frequency-domain speech enhancement network to improve end-to-end Bengali automatic speech recognition under unseen noisy conditions MME Noor, YJ Lu, SS Wang, S Ghose, CY Chang, RE Zezario, S Ahmed, ... 2021 24th Conference of the Oriental COCOSDA International Committee for the …, 2021 | 1 | 2021 |
| 基於語音增強技術之多模態訓練語料強健類神經網路聲學模型 RE Zezario National Central University, 2017 | | 2017 |
| Incorporating local environment information with ensemble neural networks to robust automatic speech recognition CY Hsu, RE Zezario, JC Wang, CW Ho, X Lu, Y Tsao 2016 10th International Symposium on Chinese Spoken Language Processing …, 2016 | | 2016 |
| Implementasi Backpropagation Neural Network Dalam Pembangkitan Otomatis Fungsi Keanggotaan Fuzzy Pada Penderita Penyakit Hepatitis RE Zezario Universitas Brawijaya, 2014 | | 2014 |
| Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain RE Zezario, SW Fu, F Chen, CS Fuh, HM Wang, Y Tsao | | |
Yu TsaoResearch Fellow (Professor), Deputy Director, CITI, Academia SinicaVerified email at citi.sinica.edu.tw
