Follow
Takashi Nose
Title
Cited by
Cited by
Year
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
7112007
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
2462009
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
1732007
The HMM-based speech synthesis system (HTS)
K Tokuda
http://hts. sp. nitech. ac. jp/, 2010
862010
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
572009
Recent development of the HMM-based speech synthesis system (HTS)
H Zen, K Oura, T Nose, J Yamagishi, S Sako, T Toda, T Masuko, ...
532009
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
422016
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
362013
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
282008
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
262019
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
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
252020
A speaker adaptation technique for MRHSMM-based style control of synthetic speech
T Nose, Y Kato, T Kobayashi
ICASSP (4), 833-836, 2007
242007
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
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 style control technique for speech synthesis using multiple regression HSMM
T Nose, J Yamagishi, T Kobayashi
ICSLP 2, 5, 2006
232006
Multi-stream attention-based BLSTM with feature segmentation for speech emotion recognition
Y Chiba, T Nose, A Ito
Power 1 (2), 3, 2020
222020
Style estimation of speech based on multiple regression hidden semi-Markov model
T Nose, Y Kato, T Kobayashi
INTERSPEECH, 2285-2288, 2007
222007
The system can't perform the operation now. Try again later.
Articles 1–20