Speech enhancement based on deep denoising autoencoder. X Lu, Y Tsao, S Matsuda, C Hori Interspeech 2013, 436-440, 2013 | 1062 | 2013 |
Voice conversion from unaligned corpora using variational autoencoding wasserstein generative adversarial networks CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang Interspeech 2017, 2017 | 453 | 2017 |
Voice conversion from non-parallel corpora using variational auto-encoder CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 353 | 2016 |
ASVspoof 2019: a large-scale public database of synthetized, converted and replayed speech X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ... Computer Speech & Language, 101114, 2020 | 339 | 2020 |
End-to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks SW Fu, TW Wang, Y Tsao, X Lu, H Kawai IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018 | 327 | 2018 |
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement SW Fu, CF Liao, Y Tsao, SD Lin ICML 2019 International Conference on Machine Learning 2019, 2019 | 315 | 2019 |
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders HT Chiang, YY Hsieh, SW Fu, KH Hung, Y Tsao, SY Chien IEEE Access, 60806-60813, 2019 | 274 | 2019 |
Mosnet: Deep learning based objective assessment for voice conversion CC Lo, SW Fu, WC Huang, X Wang, J Yamagishi, Y Tsao, HM Wang arXiv preprint arXiv:1904.08352, 2019 | 271 | 2019 |
Audio-visual speech enhancement using multimodal deep convolutional neural networks JC Hou, SS Wang, YH Lai, Y Tsao, HW Chang, HM Wang IEEE Transactions on Emerging Topics in Computational Intelligence, 2018 | 265* | 2018 |
Raw waveform-based speech enhancement by fully convolutional networks SW Fu, Y Tsao, X Lu, H Kawai 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 260 | 2017 |
Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach SH Fang, Y Tsao, MJ Hsiao, JY Chen, YH Lai, FC Lin, CT Wang Journal of Voice, 2019 | 243 | 2019 |
S1 and S2 heart sound recognition using deep neural networks TE Chen, SI Yang, LT Ho, KH Tsai, YH Chen, YF Chang, YH Lai, ... IEEE Transactions on Biomedical Engineering 64 (2), 372-380, 2016 | 228 | 2016 |
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement SW Fu, Y Tsao, X Lu Interspeech 2016, 3768-3772, 2016 | 211 | 2016 |
Metricgan+: An improved version of metricgan for speech enhancement SW Fu, C Yu, TA Hsieh, P Plantinga, M Ravanelli, X Lu, Y Tsao arXiv preprint arXiv:2104.03538, 2021 | 197 | 2021 |
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 |
Quality-Net: An end-to-end non-intrusive speech quality assessment model based on BLSTM SW Fu, Y Tsao, HT Hwang, HM Wang arXiv preprint arXiv:1808.05344, 2018 | 177 | 2018 |
Learning transportation modes from smartphone sensors based on deep neural network SH Fang, YX Fei, Z Xu, Y Tsao IEEE Sensors Journal 17 (18), 6111-6118, 2017 | 138 | 2017 |
Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning YH Lai, WN Chen, TC Hsu, C Lin, Y Tsao, S Wu Scientific reports 10 (1), 4679, 2020 | 131 | 2020 |
Conditional diffusion probabilistic model for speech enhancement YJ Lu, ZQ Wang, S Watanabe, A Richard, C Yu, Y Tsao ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 128 | 2022 |
A deep denoising autoencoder approach to improving the intelligibility of vocoded speech in cochlear implant simulation YH Lai, F Chen, SS Wang, X Lu, Y Tsao, CH Lee IEEE Transactions on Biomedical Engineering 64 (7), 1568-1578, 2016 | 124 | 2016 |