Yu Tsao
Yu Tsao
Research Fellow (Professor), Deputy Director, CITI, Academia Sinica
Verified email at - Homepage
Cited by
Cited by
Speech enhancement based on deep denoising autoencoder.
X Lu, Y Tsao, S Matsuda, C Hori
Interspeech 2013, 436-440, 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
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
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
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
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
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
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
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
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
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
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
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement
SW Fu, Y Tsao, X Lu
Interspeech 2016, 3768-3772, 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
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
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
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
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
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
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
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