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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CNR, BioX | 2022-03-04 14:20 |
Online | Online | Synthesizing Deep Master Voices for Wolf Attacking on Speaker Recognition Systems Jun Tsuchiya, Masakatsu Nishigaki, Tetsushi Ohki (Shizuoka Univ.)  BioX2021-53 CNR2021-34 |
In this paper, we propose an attack on speaker verification systems by Deep Master Voice using GAN-based wolf voice.GAN-... [more] | BioX2021-53 CNR2021-34 pp.33-38 |
| 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 |
| 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 |
| OCS, PN, NS (Joint) |
2019-06-21 13:20 |
Iwate | MALIOS（Morioka） | Propose an approach to defend against the attack for smart speaker Yuya Tarutani (Okayama Univ.), Kensuke Ueda, Yoshiaki Kato (Mitsubishi Electric) NS2019-39 |
Smart speakers have become widespread as voice operation interface. Users can operate the various function such as home ... [more] | NS2019-39 pp.23-28 |
| MBE | 2019-02-01 14:35 |
Saga | Saga University | A Speaker Recognition Framework Using Sound Spectrogram and Convolutional Neural Network Based Deep Learning Technique and Performance Evaluation with a Large-Scale Dataset of Human Speech Ikumi Osaki, Masaki Kyoso (Tokyo City Univ.) MBE2018-81 |
In order to realize highly accurate speaker recognition， it is necessary to have universal applicability to various spea... [more] | MBE2018-81 pp.117-121 |
| SP | 2019-01-27 11:05 |
Ishikawa | Kanazawa-Harmonie | A Speaker Recognition Performance Measure based on the Adaptation Quickness and Final Accuracy for Spoken Dialog Systems Junko Takami, Takeshi Kawabata (KGU) SP2018-59 |
For constructing user friendly spoken dialog system, it is important to recognize "Who is the user?" and to choose appro... [more] | SP2018-59 pp.35-40 |
| EA, US (Joint) |
2019-01-22 14:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
On speaker identification under multiple-talker condition using frequency domain binaural model Kai Kiyota, Irwansyah, Kousuke Matsuoka, Tsuyoshi Usagawa (Kumamoto Univ.) EA2018-94 |
In order to realize the speech recognition system suitable for a small meeting logging with speaker identification, it i... [more] | EA2018-94 pp.7-12 |
| SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 11:45 |
Tokyo | NTT Musashino R&D | Study on i-vector based speaker verification using rank for short utterances Misaki Tsujikawa (Panasonic/Sokendai), Tsuyoki Nishikawa (Panasonic), Tomoko Matsui (ISM) SP2016-53 |
Generally, short utterance test data seriously degrades the accuracy of speaker verification. However, in many voice-ope... [more] | SP2016-53 pp.23-26 |
| EA, ASJ-H | 2016-08-09 15:25 |
Miyagi | Tohoku Gakuin Univ., Tagajo Campus | EA2016-24 |
This talk describes the research achievements of the late Prof. Ken’iti Kido in speech research. In order to apply a spe... [more] | EA2016-24 pp.25-30 |
| SP, IPSJ-SLP (Joint) |
2015-07-17 14:10 |
Nagano | Katakura Suwako Hotel | Investigation of privacy-preserving sounds to degrade automatic speaker verification performance Kei Hashimoto (NITECH), Junichi Yamagishi, Isao Echizen (NII) SP2015-49 |
Sharing speech without permission and identifying the individual from the speech by speaker recognition lead to problems... [more] | SP2015-49 pp.79-84 |
| WIT, SP, ASJ-H, PRMU | 2015-06-18 14:50 |
Niigata | Study on i-vector based speaker identification for short utterances Misaki Tsujikawa (Panasonic Corporation/SOKENDAI), Tsuyoki Nishikawa (Panasonic Corporation), Tomoko Matsui (ISM) PRMU2015-43 SP2015-12 WIT2015-12 |
Recently, voice controlled system is growing popular due to the development of speech recognition technology. For exampl... [more] | PRMU2015-43 SP2015-12 WIT2015-12 pp.65-70 |
|
| WIT | 2014-10-19 14:35 |
Kumamoto | Development of User Interface for the Kinect Cane System Yusuke Kuramochi, Hotaka Takizawa (Tsukuba Univ.), Mayumi Aoyagi (Aichi Univ. of Educ.), Nobuo Ezaki (Toba NCMT), Shinji Mizuno (Aichi Inst. of Tech.) WIT2014-40 |
This paper proposes a new user interface of the Kinect cane system for a visually impaired user to recognize objects in ... [more] | WIT2014-40 pp.15-18 |
|
| SP | 2014-01-24 13:30 |
Aichi | Meijo Univ. | Automatic Recogntion of Paralinguistic Information with Speaker Dependent Modeling Tomoyuki Shimakawa, Yoichi Yamashita (Ritsumeikan Univ.) SP2013-103 |
This paper discusses about the automatic recognition of paralinguistic information with speaker dependent modeling. When... [more] | SP2013-103 pp.43-48 |
| SP, IPSJ-SLP (Joint) |
2013-07-25 14:40 |
Miyagi | Soho (togatta spa) | Single Channel Dereverberation by Feature Mapping Using Limited Stereo Data Aditya Arie Nugraha (Toyohashi Univ. of Tech.), Kazumasa Yamamoto (Toyota Nat. Coll. of Tech./Toyohashi Univ. of Tech.), Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2013-54 |
In this paper, we present a feature enhancement method that uses neural networks (NNs) to map the reverberant feature in... [more] | SP2013-54 pp.7-12 |
| SP | 2013-02-28 13:40 |
Aichi | Daido University | Speaker-based pronunciation clustering of World Englishes based on pronunciation structure analysis Han-Ping Shen (National Cheng Kung Univ.), Nobuaki Minematsu (Univ. of Tokyo), Steven Weinberger (George Mason Univ.), Takehiko Makino (Chuo Univ.), Josef Novak, Teeraphon Pongkittiphan (Univ. of Tokyo), Chung-Hsien Wu (National Cheng Kung Univ.) SP2012-116 |
English is the only language available for global communication. Due to the influence of the students’ mother tongue, ho... [more] | SP2012-116 pp.7-12 |
| BioX (2nd) |
2012-08-28 14:30 |
Tokyo | Waseda Univ. Nishiwaseda Campus | Wolf attack based on speech synthesis using LP-residual signal Shohei Hayashi, Tetsushi Ohki, Naohisa Komatsu, Jiro Katto (Waseda Univ.) |
In this paper, we suggest a method of creation of voice that allows the Wolf attack against speaker recognition system. ... [more] | |
| WIT, SP | 2011-10-06 13:30 |
Tokyo | TFT Bldg. | A Study of Speaker Recognition using Phase Spectrum Atsushi Ueda (Kanagawa Prefectural Police), Kiyoshi Mizui (Kanto Gakuin Univ.) SP2011-55 WIT2011-37 |
In this study, we propose speaker recognition system using phase spectrum for noisy voice with lack of high-frequency ba... [more] | SP2011-55 WIT2011-37 pp.19-24 |
| EA, SIP, SP | 2011-05-12 14:15 |
Osaka | Ritsumeikan Univ. | Evaluation and analysis of speaking-position and speaker dependence for reverberant speech recognition Takahiro Fukumori, Masanori Morise, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2011-10 SIP2011-10 SP2011-10 |
In this research, we investigate speaking-position and speaker dependence for reverberant speech recognition. Many peopl... [more] | EA2011-10 SIP2011-10 SP2011-10 pp.55-60 |
| 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 | 2008-07-17 - 2008-07-19 |
Iwate | Iwate Prefectural Univ. | An Investigation on the speaker Vector-based Speaker Verification Naoki Tadokoro, Masaharu Katoh, Tetsuo Kosaka (Yamagata Univ.) SP2008-46 |
This paper describes the improvement in performance of a text-independent speaker verification based on a speaker vector... [more] | SP2008-46 pp.19-24 |
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