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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Evaluation of Automatic Speech Recognition for Deaf and Hard-of-Hearing People by Speaker Adaptation.
Kaito Takahashi, Takahiro Kinouchi, Yukoh Wakabayashi (TUT), Kengo Ohta (NITAC), Akio Kobayashi (Yamato Univ.), Norihide Kitaoka (TUT) EA2023-102 SIP2023-149 SP2023-84
Communication between normal-hearing people and the deaf is generally used sign language, written communication, and spe... [more] EA2023-102 SIP2023-149 SP2023-84
pp.244-249
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Evaluation of multi-speaker text-to-speech synthesis using a corpus for speech recognition with x-vectors for various speech styles
Koki Hida (Wakayama Univ/NICT), Takuma Okamoto (NICT), Ryuichi Nisimura (Wakayama Univ), Yamato Ohtani (NICT), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) SP2023-25
We have implemented multi-speaker end-to-end text-to-speech synthesis based on JETS using x-vectors as speaker embedding... [more] SP2023-25
pp.125-130
PRMU, SP 2018-06-29
11:00
Nagano   Speaker adaptation in speech synthesis based on neural networks including temporal structure modeling
Kento Nakao, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2018-31 SP2018-11
This paper proposes a speaker adaptation technique for speech synthesis based on deep neural networks (DNNs) using a str... [more] PRMU2018-31 SP2018-11
pp.53-58
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] Development of Speaker/Environment-Dependent Acoustic Model for Non-Audible Murmur Recognition Based on DNN Adaptation
Seita Noda, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-56
In this research, we aim to improve the performance of non-audible murmur (NAM) recognition towards the development of s... [more] SP2017-56
pp.7-10
SP, SIP, EA 2017-03-01
12:40
Okinawa Okinawa Industry Support Center [Poster Presentation] An investigation of speaker adaptation method for DNN-based speech synthesis using speaker codes
Nobukatsu Hojo, Yusuke Ijima (NTT) EA2016-108 SIP2016-163 SP2016-103
In this work, we conducted objective evaluation experiments on the conventional speaker adaptation methods for DNN-based... [more] EA2016-108 SIP2016-163 SP2016-103
pp.147-152
SP 2016-10-27
16:25
Shizuoka Shizuoka University. A DNN-based Text-to-Speech Synthesis System using Speaker, Gender and Age Codes
Hieu Thi Luong (VNU - HCM - University of Science), Shinji Takaki (NII), SangJin Kim (Naver Labs), Junichi Yamagishi (NII) SP2016-48
(To be available after the conference date) [more] SP2016-48
pp.37-42
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
11:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Speaker adaptation using speaker-normalized DNN based on speaker codes
Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2014-118
Recently, deep neural network (DNN) becomes one of the main streams of acoustic modeling for automatic speech recognitio... [more] SP2014-118
pp.105-110
SP 2013-02-28
15:00
Aichi Daido University [Poster Presentation] The effect of Speaker Adaptive Training on the naturalness of conversational speech synthesis and the controllability of paralinguistic information
Shunsuke Takahashi, Hiroki Mori (Utsunomiya Univ.) SP2012-121
The Speaker Adaptive Training (SAT) was applied to the HMM-based dialogue speech synthesis based on the UU Database. Its... [more] SP2012-121
pp.25-26
SP 2012-06-14
16:00
Kanagawa NTT Atsugi R&D Center Perceptual evaluation of synthesized speech reflecting "personalities"
Minoru Tsuzaki (KCUA), Keiichi Tokuda (NITEC), Hisashi Kawai (KDDI R&D Labs), Yoshinori Shiga, Jinfu Ni (NICT), Keiichiro Oura, Sayaka Shiota (NITEC) SP2012-39
Perceptual evaluation tests were performed for talker selection methods in the application of the speaker adaptation fra... [more] SP2012-39
pp.33-38
SP, NLC, IPSJ-SLP [detail] 2011-12-20
09:00
Tokyo   Simultaneous application of speaker adaptation and noise mixture model estimation for noise suppression
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakatani (NTT) NLC2011-46 SP2011-91
In this paper, we propose a joint processing method for a model-based noise suppression that simultaneously achieves spe... [more] NLC2011-46 SP2011-91
pp.113-118
WIT, SP 2011-10-07
11:00
Tokyo TFT Bldg. On an analysis of speaker dependency and speaker adaptation for the recognition of back-channeling expressions in dialog between an robot and persons with dementia
Ken Sadohara, Hiroaki Kojima (AIST), Takuya Narita, Misato Nihei, Minoru Kamata (Univ. Tokyo), Shin-ichi Ohnaka, Yoshihiro Fujita (NEC), Rina Ishiwata, Takenobu Inoue (NRCD) SP2011-62 WIT2011-44
For the purpose of establishing a dialog between a robot and persons with dementia to remind information, this paper con... [more] SP2011-62 WIT2011-44
pp.61-65
SP, NLC 2009-12-21
10:10
Tokyo Univ. of Tokyo Speaker Adaptation Using Nonlinear Spectral Transformation For Speech Recognition.
Toyohiro Hayashi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-12 SP2009-76
This paper proposes a speaker adaptation technique using nonlinear spectral transform based on GMMs.
One of the most po... [more]
NLC2009-12 SP2009-76
pp.1-6
SP 2009-07-17
13:25
Fukushima   Improvement of lecture speech recognition by using speaker-class models
Takashi Ito, Yohei Okuyama, Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Masaki Kohda (professor emeritus at Yamagata Univ.) SP2009-42
This paper describes a new method based on speaker-class (SC) models in order to improve the performance of lecture spee... [more] SP2009-42
pp.7-12
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, NLC 2008-12-09
14:10
Tokyo Waseda Univ. Acoustic Model Training Technique for Speech Recognition using Style Estimation with Multiple-Regression HMM
Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi (Tokyo Tech) NLC2008-30 SP2008-85
We propose a technique for emotional speech recognition based on multiple-regression HMM (MRHMM). To achieve emotional s... [more] NLC2008-30 SP2008-85
pp.37-42
SP 2008-10-23
17:30
Kumamoto Kumamoto Univ. An MRHSMM-based voice quality control technique for synthetic speech using speaker adaptation from average voice model
Makoto Tachibana, Akifumi Kouno, Takashi Nose, Takao Kobayashi (Tokyo Tech) SP2008-63
This paper describes a technique for controlling voice quality of synthetic speech using multiple-regression hidden semi... [more] SP2008-63
pp.41-46
SP 2008-07-17
- 2008-07-19
Iwate Iwate Prefectural Univ. Spontaneous Speech Recognition using Speaker-Class Model and Speaker Adaptation
Tetsuo Kosaka (Yamagata Univ.) SP2008-47
This paper describes a new method based on speaker-class models in order to improve the performance of an unsupervised b... [more] SP2008-47
pp.25-30
WIT, TL, SP 2008-01-25
17:10
Shimane Shimane Univ. The consideration between number of phone in training sets and recognition accuracy for speaker adaptation.
Shougo Matsuura, Jin'ichi Murakami, Satoru Ikehara (Tottori Univ.) TL2007-87 SP2007-182 WIT2007-87
This study pay attention to number of phones in training sets. We make
a hybrid HMM which mixed speaker adaptation HMM... [more]
TL2007-87 SP2007-182 WIT2007-87
pp.87-91
SP 2007-11-28 Chiba Chiba Institute of Technology Speech synthesis with diverse voices and styles using average voice model
Makoto Tachibana, Takao Kobayashi (Tokyo Tech) SP2007-87
This paper describes a technique for synthesizing speech with desired style of an arbitrary target speaker's voice in a ... [more] SP2007-87
pp.7-12
SP 2007-10-25
- 2007-10-26
Nagasaki Nagasaki University A speaker adaptation technique using average voice model for MRHSMM-based style control of synthetic speech
Shinsuke Izawa, Makoto Tachibana, Takashi Nose, Takao Kobayashi (Tokyo Tech) SP2007-85
This paper describes a technique for synthesizing speech with an arbitrary target speaker’s voice as well as desired sty... [more] SP2007-85
pp.81-86
 Results 1 - 20 of 20  /   
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