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 Results 1 - 7 of 7  /   
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)
Domain adaptation of speech recognition model based on multilingual SSL model with only nonparallel corpus.
Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yukoh Wakabayashi (TUT), Kengo Ohta (NITA), Norihide Kitaoka (TUT) EA2023-100 SIP2023-147 SP2023-82
Automatic speech recognition (ASR) models are used in various services and businesses, and each domain’s recognition acc... [more] EA2023-100 SIP2023-147 SP2023-82
pp.232-237
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
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
Intermediate speaker speech synthesis between two speakers using x-vector speaker space
Sota Hosoi, Takahiro Kinouchi, Yukoh Wakabayashi, Norihide Kitaoka (TUT) EA2023-103 SIP2023-150 SP2023-85
Recent advancements in speech synthesis technologies have enabled the synthesis of speeches of speakers not in the train... [more] EA2023-103 SIP2023-150 SP2023-85
pp.250-255
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Domain adaptation of speech recognition models based on self-supervised learning using target domain speech
Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yuko Wakabayashi, Norihide Kitaoka (TUT) SP2023-19
In this study, we propose a domain adaptation method using only speech data in the target domain without using transcrib... [more] SP2023-19
pp.91-96
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-12-01
15:50
Tokyo
(Primary: On-site, Secondary: Online)
ASR model adaptation to target domain with large-scale audio data without transcription
Takahiro Kinouchi, Daiki Mori (TUT), Ogawa Atsunori (NTT), Norihide Kitaoka (TUT) NLC2022-18 SP2022-38
Nowadays, speech recognition is used in various services and businesses thanks to the advent of high-performance models ... [more] NLC2022-18 SP2022-38
pp.50-53
MBE, NC
(Joint)
2015-07-18
15:50
Tokushima The University of Tokushima Analysis of a chaotic time series using connection weight vectors of neural networks
Masatake Akutagawa, Takahiro Kinouchi, Takahiro Emoto, Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Tokushima Univ.) MBE2015-24
A method to analyze a time series to quantify change of internal state of a non-linear system is introduced. A multi-lay... [more] MBE2015-24
pp.23-28
NC, MBE
(Joint)
2013-07-19
16:25
Tokushima The University of Tokushima Analysis of state change of nonlinear systems using neural networks -- Analysis of the connection weights by principal component analysis --
Takahiro Kinouchi, Masatake Akutagawa, Takahiro Emoto, Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Univ. of Tokushima) MBE2013-32
Nonlinearity is one of the significant factor to characteristics of a living body because it is a nonlinear system.The u... [more] MBE2013-32
pp.33-36
 Results 1 - 7 of 7  /   
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