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Takashi Nose
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The HMM-based speech synthesis system (HTS) version 2.0
H Zen, T Nose, J Yamagishi, S Sako, T Masuko, AW Black, K Tokuda
SSW, 294-299, 2007
7172007
Robust speaker-adaptive HMM-based text-to-speech synthesis
J Yamagishi, T Nose, H Zen, ZH Ling, T Toda, K Tokuda, S King, S Renals
IEEE Transactions on Audio, Speech, and Language Processing 17 (6), 1208-1230, 2009
2492009
A style control technique for HMM-based expressive speech synthesis
T Nose, J Yamagishi, T Masuko, T Kobayashi
IEICE transactions on information and systems 90 (9), 1406-1413, 2007
1762007
The HMM-based speech synthesis system (HTS)
K Tokuda
http://hts. sp. nitech. ac. jp/, 2010
872010
Statistical parametric speech synthesis based on Gaussian process regression
T Koriyama, T Nose, T Kobayashi
IEEE Journal of Selected Topics in Signal Processing 8 (2), 173-183, 2013
582013
HMM-based style control for expressive speech synthesis with arbitrary speaker's voice using model adaptation
T NOSE, M TACHIBANA, T KOBAYASHI
IEICE transactions on information and systems 92 (3), 489-497, 2009
582009
Recent development of the HMM-based speech synthesis system (HTS)
H Zen, K Oura, T Nose, J Yamagishi, S Sako, T Toda, T Masuko, ...
542009
Construction and analysis of phonetically and prosodically balanced emotional speech database
E Takeishi, T Nose, Y Chiba, A Ito
2016 Conference of The Oriental Chapter of International Committee for …, 2016
472016
Pharmacological studies on cutaneous inflammation induced by ultraviolet irradiation (1): Quantification of erythema by reflectance colorimetry and correlation with cutaneous …
T Nose, K Tsurumi
The Japanese Journal of Pharmacology 62 (3), 245-256, 1993
471993
An intuitive style control technique in HMM-based expressive speech synthesis using subjective style intensity and multiple-regression global variance model
T Nose, T Kobayashi
Speech Communication 55 (2), 347-357, 2013
392013
Automatic assessment of English proficiency for Japanese learners without reference sentences based on deep neural network acoustic models
J Fu, Y Chiba, T Nose, A Ito
Speech Communication 116, 86-97, 2020
302020
An analysis of the effect of emotional speech synthesis on non-task-oriented dialogue system
Y Chiba, T Nose, T Kase, M Yamanaka, A Ito
Proceedings of the 19th annual SIGdial meeting on discourse and dialogue …, 2018
302018
The HMM-based speech synthesis system (HTS) Version 2.1
K Tokuda, H Zen, J Yamagishi, T Masuko, S Sako, A Black, T Nose
Online: http://hts. sp. nitech. ac. jp/, accessed 27, 2008
292008
Comparison of speech recognition performance between Kaldi and Google cloud speech API
T Kimura, T Nose, S Hirooka, Y Chiba, A Ito
Recent Advances in Intelligent Information Hiding and Multimedia Signal …, 2019
282019
Speaker and style adaptation using average voice model for style control in HMM-based speech synthesis
M Tachibana, S Izawa, T Nose, T Kobayashi
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008
262008
HMM-based expressive singing voice synthesis with singing style control and robust pitch modeling
T Nose, M Kanemoto, T Koriyama, T Kobayashi
Computer Speech & Language 34 (1), 308-322, 2015
242015
Improving user impression in spoken dialog system with gradual speech form control
Y Kageyama, Y Chiba, T Nose, A Ito
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue …, 2018
232018
HMM-based emphatic speech synthesis using unsupervised context labeling.
Y Maeno, T Nose, T Kobayashi, Y Ijima, H Nakajima, H Mizuno, ...
INTERSPEECH, 1849-1852, 2011
232011
On the use of extended context for HMM-based spontaneous conversational speech synthesis
T Koriyama, T Nose, T Kobayashi
INTERSPEECH, 2657-2660, 2011
232011
A speaker adaptation technique for MRHSMM-based style control of synthetic speech
T Nose, Y Kato, T Kobayashi
ICASSP (4), 833-836, 2007
232007
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Articles 1–20