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Yu Tsao
Yu Tsao
Research Fellow (Professor), Deputy Director, CITI, Academia Sinica
Verified email at citi.sinica.edu.tw - Homepage
Title
Cited by
Cited by
Year
Speech enhancement based on deep denoising autoencoder.
X Lu, Y Tsao, S Matsuda, C Hori
Interspeech 2013, 436-440, 2012
8122012
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
3642017
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
2652016
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
2262018
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
1882017
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement
SW Fu, Y Tsao, X Lu
Interspeech 2016, 3768-3772, 2016
1742016
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
1712016
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
169*2018
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
1502019
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
1362019
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
1342017
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
1232020
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
1152019
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
1052017
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
992018
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
942019
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
922016
Ensemble modeling of denoising autoencoder for speech spectrum restoration
X Lu, Y Tsao, S Matsuda, C Hori
Fifteenth Annual Conference of the International Speech Communication …, 2014
712014
Transportation modes classification using sensors on smartphones
SH Fang, HH Liao, YX Fei, KH Chen, JW Huang, YD Lu, Y Tsao
Sensors 16 (8), 1324, 2016
682016
Deep learning–based noise reduction approach to improve speech intelligibility for cochlear implant recipients
YH Lai, Y Tsao, X Lu, F Chen, YT Su, KC Chen, YH Chen, LC Chen, ...
Ear and hearing 39 (4), 795-809, 2018
612018
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