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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-12-01
15:20
Tokyo
(Primary: On-site, Secondary: Online)
Domain and language adaptation of large-scale pretrained model for speech recognition of low-resource language
Kak Soky (Kyoto University), Sheng Li (NICT), Chenhui Chu, Tatsuya Kawahara (Kyoto University) NLC2022-17 SP2022-37
The self-supervised learning (SSL) models are effective for automatic speech recognition (ASR). Due to the huge paramete... [more] NLC2022-17 SP2022-37
pp.45-49
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
17:35
Online Online [Short Paper] Comparison of End-to-End Models for Joint Speaker and Speech Recognition
Kak Soky (Kyoto Univ.), Sheng Li (NICT), Masato Mimura, Chenhui Chu, Tatsuya Kawahara (Kyoto Univ.) EA2020-78 SIP2020-109 SP2020-43
In this paper, we investigate the effectiveness of using speaker information on the performance of speaker-imbalanced au... [more] EA2020-78 SIP2020-109 SP2020-43
pp.109-113
SP, EA, SIP 2020-03-03
14:25
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
EA2019-163 SIP2019-165 SP2019-112 (To be available after the conference date) [more] EA2019-163 SIP2019-165 SP2019-112
pp.361-366
MVE 2019-08-30
09:25
Aichi   Improvement on Television Advertisement Analysis by Using Additional Text Information
Li Tao, Shunsuke Nakamura, Xueting Wang (UTokyo), Tatsuya Kawahara (Video Research), Toshihiko Yamasaki (UTokyo) MVE2019-15
 [more] MVE2019-15
pp.55-59
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-10
13:15
Tokyo Waseda Univ. Nishiwaseda Campus [Invited Talk] Review of Automatic Speech Recognition Methodology -- Outlook of Acoustic-to-Word Model --
Tatsuya Kawahara (Kyoto Univ.) SP2018-48
The methodology of speech recognition has been changing due to the introduction of deep learning, in particular end-to-e... [more] SP2018-48
pp.25-30
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) IBISML2018-49 (To be available after the conference date) [more] IBISML2018-49
pp.37-44
MVE 2018-09-06
15:40
Osaka   Prediction of Television Advertisement Effects Using Multimodal Convolutional Neural Networks
Shunsuke Nakamura (UTokyo), Tatsuya Kawahara (VR), Toshihiko Yamasaki (UTokyo) MVE2018-18
 [more] MVE2018-18
pp.31-35
SP 2018-08-27
11:35
Kyoto Kyoto Univ. SP2018-23 (To be available after the conference date) [more] SP2018-23
pp.7-8
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
11:15
Okinawa  
Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) EA2017-107 SIP2017-116 SP2017-90
(To be available after the conference date) [more] EA2017-107 SIP2017-116 SP2017-90
pp.33-38
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   EA2017-144 SIP2017-153 SP2017-127 (To be available after the conference date) [more] EA2017-144 SIP2017-153 SP2017-127
pp.235-240
MVE 2017-09-21
15:45
Chiba Chiba Univ. Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks
Shunsuke Nakamura (Univ. of Tokyo), Tatsuya Kawahara (VideoResearch), Toshihiko Yamasaki (Univ. of Tokyo) MVE2017-18
Predicting the recognition rate of television advertising is a critical issue for advertisers, but factors that contribu... [more] MVE2017-18
pp.21-24
SP 2017-08-30
10:00
Kyoto Kyoto Univ.
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2017-20
 [more] SP2017-20
pp.1-6
SP 2017-08-30
11:00
Kyoto Kyoto Univ. [Poster Presentation] Semi-blind speech separation and enhancement using recurrent neural network
Masaya Wake, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2017-22
This paper describes a semi-blind speech enhancement method using a neural network.
In a human-robot speech interaction... [more]
SP2017-22
pp.13-18
SP 2017-08-30
11:00
Kyoto Kyoto Univ. [Poster Presentation]
Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2017-23
(To be available after the conference date) [more] SP2017-23
pp.19-24
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation]
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) IBISML2016-95
 [more] IBISML2016-95
pp.353-359
SP 2016-08-24
16:15
Kyoto ACCMS, Kyoto Univ. [Poster Presentation]
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2016-31
 [more] SP2016-31
pp.25-28
SP 2016-08-25
10:45
Kyoto ACCMS, Kyoto Univ.
Yoshiaki Bando, Katsutoshi Itoyama (Kyoto Univ.), Masashi Konyo, Satoshi Tadokoro (Tohoku Univ.), Kazuhiro Nakadai (Tokyo Tech/HRI-JP), Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.), Hiroshi G. Okuno (Waseda Univ.) SP2016-36
 [more] SP2016-36
pp.47-52
SP 2016-08-25
13:10
Kyoto ACCMS, Kyoto Univ. Pronunciation Error Detection using DNN Articulatory Model based on Transfer Learning
Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji (Kyoto Univ.) SP2016-39
Aiming at detecting pronunciation errors produced by second language learners and providing corrective feedbacks related... [more] SP2016-39
pp.65-70
SP 2016-08-25
13:35
Kyoto ACCMS, Kyoto Univ. Diversity-driven Semi-supervised Ensemble DNN Acoustic Model Training
Sheng Li (Kyoto Univ.), Xugang Lu (NICT), Shinsuke Sakai, Tatsuya Kawahara (Kyoto Univ.) SP2016-40
We focus on effective training DNN (Deep Neural Network) acoustic models for Chinese spoken lectures with only limited l... [more] SP2016-40
pp.71-76
PRMU 2015-12-22
13:10
Nagano   [Special Talk] State of the Speech Recognition Technology
Tatsuya Kawahara (Kyoto Univ.) PRMU2015-111
Speech recognition technology has made a significant progress over the past decade and has been used in speech transcrip... [more] PRMU2015-111
pp.111-116
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