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All Technical Committee Conferences (Searched in: Recent 10 Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SP |
2019-06-13 13:30 |
Kanagawa |
Tokyo Institute of Technology (Kanagawa) |
A study on style transplantation modeling techniques for DNN-based speech synthesis Yoshiki Hiruta (Tokyo Tech), Tomoki Koriyama (The Univ. of Tokyo), Yuuki Tachioka (Denso IT Lab), Takao Kobayashi (Tokyo Tech) SP2019-1 |
This paper investigates style transplantation modeling techniques for DNN-based statistical parametric speech synthesis.... [more] |
SP2019-1 pp.1-6 |
EA, SIP, SP |
2019-03-14 16:05 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) (Nagasaki) |
A Study on Speech Synthesis Based on Deep Gaussain Processes and Latent Variable Representation of Accent Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) EA2018-129 SIP2018-135 SP2018-91 |
[more] |
EA2018-129 SIP2018-135 SP2018-91 pp.179-184 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:50 |
Okinawa |
(Okinawa) |
On the Use of Deep Gaussian Processes for GPR-based Speech Synthesis Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) EA2017-106 SIP2017-115 SP2017-89 |
This paper proposes a speech synthesis framework
based on deep Gaussian processes (DGPs).
DGP is a Bayesian deep learn... [more] |
EA2017-106 SIP2017-115 SP2017-89 pp.27-32 |
SP, ASJ-H |
2018-01-20 13:25 |
Tokyo |
The University of Tokyo (Tokyo) |
A study on statistical speech synthesis based on GP-DNN hybrid model Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2017-67 |
We propose a novel approach to Gaussian process regression (GPR)-based speech synthesis
in this paper.
Since the conve... [more] |
SP2017-67 pp.5-10 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-22 13:00 |
Tokyo |
Waseda Univ. Green Computing Systems Research Organization (Tokyo) |
[Invited Talk]
Expressive Speech Synthesis: Approaches to Text-to-Speech with Diverse Voices and Styles Takao Kobayashi (Tokyo Tech.) SP2017-64 |
As the performance of smart devices and information systems becomes higher, more advanced speech interfaces are requeste... [more] |
SP2017-64 pp.85-86 |
SP |
2016-01-14 10:30 |
Kanagawa |
Sunpian Kawasaki (Kanagawa) |
Performance evaluation of CRF/HMM-based automatic accent labeling for speech synthesis Rina Mashiko, Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2015-85 |
We have proposed an accent type and phrase boundary estimation technique using acoustic and language models represented ... [more] |
SP2015-85 pp.1-6 |
SP |
2015-08-21 15:50 |
Iwate |
Iwate Prefectural Univ. (Iwate) |
Performance Evaluation of Large-Scale Training Sentence Set Construction Based on Entropy in Statistical Speech Synthesis Takashi Nose (Tohoku Univ.), Yusuke Arao (DNP), Takao Kobayashi (Tokyo Tech), Komei Sugiura, Yoshinori Shiga (NICT) SP2015-57 |
This paper reports the evaluation results of training sentence set construction based on entropy that we previously prop... [more] |
SP2015-57 pp.39-44 |
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