| Speech enhancement based on deep denoising autoencoder. X Lu, Y Tsao, S Matsuda, C Hori Interspeech, 436-440, 2012 | 588 | 2012 |
| 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 | 219 | 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 | 166 | 2016 |
| 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 | 121 | 2018 |
| SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement SW Fu, Y Tsao, X Lu Interspeech 2016, 3768-3772, 2016 | 116 | 2016 |
| 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 | 110 | 2017 |
| 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 | 98 | 2016 |
| 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 | 93 | 2018 |
| 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 | 77 | 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, 2018 | 71 | 2018 |
| 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 | 67 | 2016 |
| 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 | 65 | 2017 |
| 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 | 61 | 2005 |
| 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 | 59 | 2014 |
| 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 | 55 | 2009 |
| 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 | 54 | 2007 |
| 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 | 45 | 2016 |
| An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition. B Li, Y Tsao, KC Sim Interspeech, 3002-3006, 2013 | 42 | 2013 |
| Generalized maximum a posteriori spectral amplitude estimation for speech enhancement Y Tsao, YH Lai Speech Communication 76, 112-126, 2016 | 40 | 2016 |
| Speech enhancement using segmental nonnegative matrix factorization HT Fan, J Hung, X Lu, SS Wang, Y Tsao 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 39 | 2014 |
Hsin-Min WangResearch Fellow/Professor, Institute of Information Sience, Academia Sinica確認したメール アドレス: iis.sinica.edu.tw
