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Hsin Te Hwang
Hsin Te Hwang
Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan
Verified email at iis.sinica.edu.tw
Title
Cited by
Cited by
Year
Voice conversion from unaligned corpora using variational autoencoding wasserstein generative adversarial networks
CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang
arXiv preprint arXiv:1704.00849, 2017
4612017
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
3992020
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
3732016
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
1922018
Voice conversion based on cross-domain features using variational auto encoders
WC Huang, HT Hwang, YH Peng, Y Tsao, HM Wang
2018 11th International Symposium on Chinese Spoken Language Processing …, 2018
542018
Unsupervised representation disentanglement using cross domain features and adversarial learning in variational autoencoder based voice conversion
WC Huang, H Luo, HT Hwang, CC Lo, YH Peng, Y Tsao, HM Wang
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (4 …, 2020
512020
Locally Linear Embedding for Exemplar-Based Spectral Conversion.
YC Wu, HT Hwang, CC Hsu, Y Tsao, HM Wang
INTERSPEECH, 1652-1656, 2016
432016
Refined WaveNet vocoder for variational autoencoder based voice conversion
WC Huang, YC Wu, HT Hwang, PL Tobing, T Hayashi, K Kobayashi, ...
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
282019
Incorporating global variance in the training phase of GMM-based voice conversion
HT Hwang, Y Tsao, HM Wang, YR Wang, SH Chen
2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013
242013
Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm
SS Wang, HT Hwang, YH Lai, Y Tsao, X Lu, HM Wang, B Su
2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015
172015
Exploring mutual information for GMM-based spectral conversion
HT Hwang, Y Tsao, HM Wang, YR Wang, SH Chen
2012 8th International Symposium on Chinese Spoken Language Processing, 50-54, 2012
162012
Alleviating the over-smoothing problem in GMM-based voice conversion with discriminative training.
HT Hwang, Y Tsao, HM Wang, YR Wang, SH Chen
Interspeech, 3062-3066, 2013
142013
A probabilistic interpretation for artificial neural network-based voice conversion
HT Hwang, Y Tsao, HM Wang, YR Wang, SH Chen
2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015
132015
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
122018
WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion)[In Chinese]
WC Huang, CC Lo, HT Hwang, Y Tsao, HM Wang
Proceedings of the 30th Conference on Computational Linguistics and Speech …, 2018
112018
Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion
WC Huang, YC Wu, K Kobayashi, YH Peng, HT Hwang, PL Tobing, ...
arXiv preprint arXiv:1907.11898, 2019
72019
Dictionary update for NMF-based voice conversion using an encoder-decoder network
CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang
2016 10th International Symposium on Chinese Spoken Language Processing …, 2016
72016
A locally linear embbeding based postfiltering approach for speech enhancement
YC Wu, HT Hwang, SS Wang, CC Hsu, YH Lai, Y Tsao, HM Wang
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
52017
Exemplar-Based Spectral Detail Compensation for Voice Conversion.
YH Peng, HT Hwang, YC Wu, Y Tsao, HM Wang
Interspeech, 486-490, 2018
32018
A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement.
YC Wu, HT Hwang, SS Wang, CC Hsu, Y Tsao, HM Wang
INTERSPEECH, 1953-1957, 2017
32017
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