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
6652012
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
2542017
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
2022016
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
1522018
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement
SW Fu, Y Tsao, X Lu
Interspeech 2016, 3768-3772, 2016
1372016
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
1362017
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
119*2018
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
1132016
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
992017
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
932019
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
772017
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
722016
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
642014
A study on knowledge source integration for candidate rescoring in automatic speech recognition
J Li, Y Tsao, CH Lee
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
622005
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
602019
An ensemble speaker and speaking environment modeling approach to robust speech recognition
Y Tsao, CH Lee
IEEE transactions on audio, speech, and language processing 17 (5), 1025-1037, 2009
572009
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
552016
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
542018
Detection-based ASR in the automatic speech attribute transcription project
I Bromberg, Q Qian, J Hou, J Li, C Ma, B Matthews, A Moreno-Daniel, ...
Eighth Annual Conference of the International Speech Communication Association, 2007
542007
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
482019
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Articles 1–20