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 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, IPSJ-MUS 2021-06-19
15:00
Online Online Neural speech synthesis using local phrase dependency structure information
Nobuyoshi Kaiki, Sakriani Sakti, Satoshi Nakamura (NIST) SP2021-23
In order to synthesize Japanese speech with natural prosody, we introduce an end-to-end TTS with new prosodic symbol rep... [more] SP2021-23
pp.107-112
SP, IPSJ-SLP
(Joint)
2017-07-27
14:30
Miyagi Akiu Resort Hotel Crescent [Invited Talk] Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications
Takashi Nose (Tohoku Univ.) SP2017-16
This paper focuses on synthesis, recognition and conversion of various speech in the speech processing using deep learni... [more] SP2017-16
pp.3-8
SP, IPSJ-MUS 2014-05-25
11:30
Tokyo   Text-to-speech prosody synthesis based on probabilistic model for F0 contour
Kento Kadowaki, Tatsuma Ishihara, Nobukatsu Hojo (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-28
This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for t... [more] SP2014-28
pp.309-314
SP, IPSJ-SLP 2013-12-20
16:40
Tokyo   Speech synthesis technologies that supports OJAD -- An example of applying speech synthesis techniques not to synthsizing speech --
Nobuaki Minematsu, Ibuki Nakamura, Hiroya Hashimoto, Keikichi Hirose (Univ. Tokyo) SP2013-95
To support Japanese prosody instruction, the Online Japanese Accent Dictionary (OJAD) has been developed by using NLP an... [more] SP2013-95
pp.129-134
SP 2013-01-31
15:15
Kyoto Doshisha Univ. A Study on Multi-class Local Prosodic Context for Expressive Prosody Generation
Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama (Tokyo Inst. of Tech.), Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka (NTT) SP2012-112
This paper describes a technique for reproducing local prosodic variability which appears in expressive speech including... [more] SP2012-112
pp.85-90
SP 2012-11-08
16:00
Miyagi Ichibancho Lobby, Tohoku Institute of Technology Prosody Generation based on HMM using Tow-stage Clustering
Yasuyuki Mitsui, Reishi Kondo, Masanori Kato (NEC) SP2012-80
HMM-based speech synthesis can generate highly natural prosody, but there is a problem that the pitch patterns represent... [more] SP2012-80
pp.49-54
SP 2010-06-17
13:30
Fukuoka Kyushu University HMM-based F0 Contour Synthesis using the Generation Process Model
Tetsuya Matsuda, Keikichi Hirose, Nobuaki Minematsu (Univ. of Tokyo) SP2010-34
A method was proposed to increase naturalness of prosody generated by the speech synthesis based on the hidden Markov mo... [more] SP2010-34
pp.73-78
SP 2009-06-25
14:30
Hokkaido Clark Memorial Hall, Hokkaido Univ. A mean F0 speaker adaptation method for regression model-based F0 contour generation
Hosana Kamiyama, Takahiro Shinozaki (Tokyo Inst. of Tech.), Koji Iwano (Tokyo City Univ.), Sadaoki Furui (Tokyo Inst. of Tech.) SP2009-38
This paper proposes a new speaker adaptation method for the fundamental frequency ($F_0$) contour generation models base... [more] SP2009-38
pp.87-92
SP 2008-11-20
16:45
Gifu Softopia Japan (Ogaki) Generation of synthetic speech modified prosodically by hand and its use in a spoken dialog system
Hiroshi Kizawa, Katsuhide Shiraki, Kook Cho, Yoichi Yamashita (Ritsumeikan Univ.) SP2008-77
Spoken dialog systems are expected as a interface that everyone can use. And, it is asked to be more friendly and useful... [more] SP2008-77
pp.39-44
 Results 1 - 9 of 9  /   
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