Hung-yi Lee
タイトル
引用先
引用先
Audio word2vec: Unsupervised learning of audio segment representations using sequence-to-sequence autoencoder
YA Chung, CC Wu, CH Shen, HY Lee, LS Lee
arXiv preprint arXiv:1603.00982, 2016
1122016
Spoken content retrieval—beyond cascading speech recognition with text retrieval
L Lee, J Glass, H Lee, C Chan
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (9), 1389 …, 2015
842015
Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations
J Chou, C Yeh, H Lee, L Lee
arXiv preprint arXiv:1804.02812, 2018
682018
Learning chinese word representations from glyphs of characters
TR Su, HY Lee
arXiv preprint arXiv:1708.04755, 2017
492017
Neural attention models for sequence classification: Analysis and application to key term extraction and dialogue act detection
S Shen, H Lee
arXiv preprint arXiv:1604.00077, 2016
482016
Supervised and unsupervised transfer learning for question answering
YA Chung, HY Lee, J Glass
arXiv preprint arXiv:1711.05345, 2017
432017
Temporal pattern attention for multivariate time series forecasting
SY Shih, FK Sun, H Lee
Machine Learning 108 (8-9), 1421-1441, 2019
422019
Towards machine comprehension of spoken content: Initial toefl listening comprehension test by machine
BH Tseng, SS Shen, HY Lee, LS Lee
arXiv preprint arXiv:1608.06378, 2016
332016
Mockingjay: Unsupervised speech representation learning with deep bidirectional transformer encoders
AT Liu, S Yang, PH Chi, P Hsu, H Lee
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
322020
Interactive spoken document retrieval with suggested key terms ranked by a Markov decision process
YC Pan, HY Lee, LS Lee
IEEE Transactions on Audio, Speech, and Language Processing 20 (2), 632-645, 2011
322011
Segmental audio word2vec: Representing utterances as sequences of vectors with applications in spoken term detection
YH Wang, H Lee, L Lee
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
312018
Improved spoken term detection with graph-based re-ranking in feature space
YN Chen, CP Chen, HY Lee, CA Chan, LS Lee
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
302011
Unsupervised learning of audio segment representations using sequence-to-sequence recurrent neural networks
YA Chung, CC Wu, CH Shen, HY Lee, LS Lee
Proc. Interspeech, 765-769, 2016
282016
Enhanced spoken term detection using support vector machines and weighted pseudo examples
H Lee, L Lee
IEEE transactions on audio, speech, and language processing 21 (6), 1272-1284, 2013
272013
Learning to encode text as human-readable summaries using generative adversarial networks
YS Wang, HY Lee
arXiv preprint arXiv:1810.02851, 2018
262018
Spoken SQuAD: A study of mitigating the impact of speech recognition errors on listening comprehension
CH Li, SL Wu, CL Liu, H Lee
arXiv preprint arXiv:1804.00320, 2018
262018
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages
JG Hung-yi Lee, Yu Zhang, Ekapol Chuangsuwanich
InterSpeech, 2014
25*2014
One-shot voice conversion by separating speaker and content representations with instance normalization
J Chou, C Yeh, H Lee
arXiv preprint arXiv:1904.05742, 2019
242019
Improved spoken term detection by feature space pseudo-relevance feedback
C Chen, H Lee, C Yeh, L Lee
Eleventh Annual Conference of the International Speech Communication Association, 2010
242010
Improving conditional sequence generative adversarial networks by stepwise evaluation
YL Tuan, HY Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (4), 788-798, 2019
232019
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