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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multi-task learning with age information model for highly accurate elderly speech recognition. Shine Takumi, Kinouchi Takahiro, Wakabayashi Yukoh, Kitaoka Norihide (TUT)  EA2023-64 SIP2023-111 SP2023-46 |
The speech recognition of the elderly is less accurate, especially in smart speaker speech recognition, due to aging-rel... [more] | EA2023-64 SIP2023-111 SP2023-46 pp.19-24 |
| EMM, EA, ASJ-H | 2023-11-23 13:00 |
Toyama | [Poster Presentation]
** , (**) |
As a study of speech intelligibility estimation methods using speech recognition, we simulated a subjective evaluation t... [more] | EA2023-45 EMM2023-76 pp.93-97 |
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| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] | SP2023-11 pp.54-59 |
| SIS | 2023-03-03 11:10 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
Investigation of introducing data augmentation methods to improve speech enhancement performance Reito Kasuga, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-52 |
The field of speech enhancement has been extensively researched worldwide, and many speech enhancement methods have been... [more] | SIS2022-52 pp.64-69 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Representation and analytical normalization for vocal-tract-length transformation by group theory Atsushi Miyashita, Tomoki Toda (Nagoya Univ) SP2022-11 |
In automatic speech recognition, a recognition result should be invariant with respect to acoustic changes caused by dif... [more] | SP2022-11 pp.41-46 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 13:00 |
Online | Online | [Poster Presentation]
Proposal of Speech Content Conversion and the Initial Trial: Conversion of Linguistic Information Depending on Situations Kohei Takita, Saizo Aoyagi, Tatsunori Hirai (Komazawa Univ.) SP2022-19 |
It is important to speak dialects, honorifics, and simple words for listeners and the environment in order to smooth com... [more] | SP2022-19 pp.82-87 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 15:00 |
Online | Online | Protection method with audio processing against Audio Adversarial Example Taisei Yamamoto, Yuya Tarutani, Yukinobu Fukusima, Tokumi Yokohira (Okayama Univ) SP2021-4 |
Machine learning technology has improved the recognition accuracy of voice recognition, and demand for voice recognition... [more] | SP2021-4 pp.19-24 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 09:30 |
Online | Online | [Invited Talk]
Toward a Unification of Various Speech Processing Tasks Based on End-to-End Neural networks Shinji Watanabe (CMU) SP2021-8 |
This presentation will introduce the recent progress of speech processing technologies based on end-to-end neural networ... [more] | SP2021-8 p.38 |
| WIT, SP | 2019-10-27 10:30 |
Kagoshima | Daiichi Institute of Technology | A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition Hidetoshi Nagai (KIT) SP2019-32 WIT2019-31 |
In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes... [more] | SP2019-32 WIT2019-31 pp.87-92 |
| SP | 2019-01-26 16:25 |
Ishikawa | Kanazawa-Harmonie | [Fellow Memorial Lecture]
Machine, human and sound communication Akinori Ito (Tohoku Univ.) SP2018-55 |
Speech is the most important modality for human-human communication. From invention of electrical speech communication, ... [more] | SP2018-55 p.19 |
| SP | 2019-01-27 11:30 |
Ishikawa | Kanazawa-Harmonie | Multimodal Data Augmentation for Visual Speech Recognition using Deep Canonical Correlation Analysis Masaki Shimonishi, Satoshi Tamura, Satoru Hayamizu (Gifu University) SP2018-60 |
This paper proposes ta new data augmentation strategy for deep learning, in which feature vectors in one modality can be... [more] | SP2018-60 pp.41-45 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Utilization of Arc Type Single-Channel Microphone Array to Display Daily Conversation Tomoki Kurahashi (Univ. Tsukuba), Keiichi Zempo, Koichi Mizutani, Naoto Wakatsuki (Univ. of Tsukuba) |
We have been studying a portable real-world caption system using transparent Head-Mounted Display to ensure information ... [more] | |
| WIT | 2016-03-05 09:30 |
Ibaraki | Tusukuba Univ. of Tech.(Tsukuba) | Hearing Aid with Lip Reading
-- Speech Enhancement using Vowel Estimation -- Yuzuru Iinuma, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2015-98 |
Under highly noisy environments such as construction sites and cocktail parties, it is difficult for not only humans but... [more] | WIT2015-98 pp.53-58 |
| WIT, HI-SIGACI | 2015-12-08 15:00 |
Tokyo | AIST Tokyo Waterfront | Supporting Development of Speech Visualization Mode for Deaf and Hard of Hearing People Support Yusuke Toba, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Tomohito Uchino, Tomohiro Yokoyama, Yasuhiro Takebayashi (School for the Deaf, University of Tsukuba) WIT2015-63 |
We have proposed a multi-modal visualization application in order to support deaf and hard of hearing people in understa... [more] | WIT2015-63 pp.1-6 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 16:30 |
Aichi | Nagoya Inst of Tech. | Distant-talking speech recognition by reverberation-aware denoising autoencoder Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ.), Atsuhiko Kai (Shizuoka Univ.) SP2015-77 |
In the distant-talking speech recognition, it is essential to deal with the noise and reverberation.Denoising autoencode... [more] | SP2015-77 pp.55-60 |
| LOIS, ISEC, SITE | 2015-11-06 15:55 |
Kanagawa | Kanagawa Univ. | The threshold value design of recognition score considering the prior probability in a quiz speech recognition system Hiroyuki Nishi, Kimurra Yoshimasa, Kakinoki Toshio (Sojo Univ.) ISEC2015-45 SITE2015-32 LOIS2015-39 |
As in the information input in the smart phone and car navigation systems, speech recognition is often used in applicati... [more] | ISEC2015-45 SITE2015-32 LOIS2015-39 pp.59-65 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2015-05-20 14:50 |
Okinawa | Okinawa Industry Support Center | Continuous Inaudible Vowels Recognition Using Peaks of Lip Shape Transition based on Surface EMG Nao Kurogi, Hidetoshi Nagai, Teigo Nakamura (Kyutech) HCS2015-37 HIP2015-37 |
We research on inaudible speech recognition with surface EMGs. On a natural speech, we can't expect stability of charact... [more] | HCS2015-37 HIP2015-37 pp.243-248 |
| NC, MBE | 2015-03-17 09:55 |
Tokyo | Tamagawa University | Silent Season BCI
-- Performance of HMM -- Takashi Ito, Hiromi Yamaguchi (KIT), Ayaka Yamaguchi (Hitachi systems), Toshimasa Yamazaki (KIT), Shin'ichi Fukuzumi (NEC), Takahiro Yamanoi (Hokkaido Gakuen University) MBE2014-130 NC2014-81 |
The purpose of this study is to generalize our previous SSBCI (Silent Speech Brain-Computer Interface) study proposed in... [more] | MBE2014-130 NC2014-81 pp.81-84 |
| SIP, EA, SP | 2015-03-02 16:10 |
Okinawa | [Special Invited Talk]
Intermediate representation for statistical pattern recognition Koichi Shinoda (TokyoTech) EA2014-85 SIP2014-126 SP2014-148 |
In Deep learning, which has recently seen its boom, it is still not clear how to optimize multi-layer structures. To sol... [more] | EA2014-85 SIP2014-126 SP2014-148 p.73 |
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| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Noise robust speech recognition by non-negative matrix factorization using GMM clustering in MFCC domain Kentaro Fujigaki, Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2014-113 |
Exemplar-based feature enhancement by non-negative matrix factorization (NMF) was proposed for noise-robust speech recog... [more] | SP2014-113 pp.69-74 |
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