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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 34  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Vocal tract length perturbation-based pseudo-speaker augmentation for automatic speaker verification
Tomoka Wakamatsu, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2023-61 SIP2023-108 SP2023-43
In recent years, deep neural network (DNN)-based automatic speaker verification (ASV) systems have become mainstream. Da... [more] EA2023-61 SIP2023-108 SP2023-43
pp.1-6
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
09:50
Okinawa
(Primary: On-site, Secondary: Online)
Pseudo-speaker augmentation based on vocal tract length perturbation considering speaker variability for speaker verification
Fumika Ono, Tomoka Wakamatsu, Sayaka Shiota (TMU) EA2023-62 SIP2023-109 SP2023-44
In order to construct a reliable speaker verification system based on speaker embeddings, it is necessary to train the s... [more] EA2023-62 SIP2023-109 SP2023-44
pp.7-12
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
15:50
Okinawa
(Primary: On-site, Secondary: Online)
The linguistic influence on speaker verification based on Self-Supervised Learning
Tomoka Wakamatsu (Tokyo Metropolitan Univ.), Atsushi Ando (NTT), Sayaka Shiota (Tokyo Metropolitan Univ.), Ryo Masumura (NTT), Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2022-118 SIP2022-162 SP2022-82
In recent years, statistical models utilizing Self-Supervised Learning (SSL) have been employed in various fields
It ha... [more]
EA2022-118 SIP2022-162 SP2022-82
pp.247-252
EA, US
(Joint)
2022-12-22
16:50
Hiroshima Satellite Campus Hiroshima [Poster Presentation] Data augmentation method for machine learning on speech data
Tsubasa Maruyama (Tokyo Tech), Tsutomu Ikegami (AIST), Toshio Endo (Tokyo Tech), Takahiro Hirofuchi (AIST) EA2022-68
In machine learning, data augmentation is a method to enhance the number and diversity of data by adding transformations... [more] EA2022-68
pp.42-48
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
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Speaker verification system using singing voice
Yui Moriyama, Yasuo Horiuchi, Shingo Kuroiwa (Chiba Univ.)
We propose to use a singing voice of one or two phrases in a speaker verification system. The system consists of a tradi... [more]
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Vulnerability investigation of speaker verification against black-box adversarial attacks
Hiroto Kai, Sayaka Shiota, Hitoshi Kiya (TMU) EA2019-106 SIP2019-108 SP2019-55
Recently,vulnerability against adversarial attacks is being feared for machine learning-based systems.Adversarial attack... [more] EA2019-106 SIP2019-108 SP2019-55
pp.29-33
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Speaker verification based on non-linear bandwidth extension considering aliasing artifacts for super-wideband applications
Haruna Miyamoto, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2017-110 SIP2017-119 SP2017-93
This paper has two aims that are to propose a novel bandwidth extension (BWE) method considering aliasing artifacts, and... [more] EA2017-110 SIP2017-119 SP2017-93
pp.51-55
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Text-dependent voice liveness detection based on pop-noise detector considering speaker-dependent phoneme information for speaker verification
Shihono Mochizuki, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2017-111 SIP2017-120 SP2017-94
This paper proposes a pop-noise (PN) detection method considering speaker-dependent phoneme information for text-depende... [more] EA2017-111 SIP2017-120 SP2017-94
pp.57-62
PRMU, BioX 2018-03-18
13:30
Tokyo   Investigation of Speaker Verification Performance Using Air and Ear Microphones in Various Acoustic Conditions
Qiongqiong Wang, Koji Okabe, Shivangi Mahto, Takafumi Koshinaka (NEC) BioX2017-43 PRMU2017-179
This paper presents an experimental study on speaker verification performances using air and ear microphones in various ... [more] BioX2017-43 PRMU2017-179
pp.43-48
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, SP, SIP 2016-03-29
09:00
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Speaker verification using weight-adapted score fusion in noisy reverberant environments
Ryosuke Nakanishi, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2015-114 SIP2015-163 SP2015-142
This paper proposes a weight estimation method for automatic speaker verification (ASV) using score fusion in noisy reve... [more] EA2015-114 SIP2015-163 SP2015-142
pp.267-272
WIT, HI-SIGACI 2015-12-08
15:20
Tokyo AIST Tokyo Waterfront Realtime Detection of Speaker Change Considering Mobile Device Environment
Masashi Tateno, Eiji Kamioka (SIT) WIT2015-64
Aiming at achieving a high performance speaker change detection using mobile-devices, the extraction of each person’s in... [more] WIT2015-64
pp.7-12
SP, IPSJ-SLP
(Joint)
2015-07-17
13:10
Nagano Katakura Suwako Hotel A study on effectiveness of pop noise for speaker verification
Shiori Nakano, Ryosuke Nakanishi, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro Univ.) SP2015-47
This paper investigates an effectiveness of pop noise, which is unconsciously caused by human breath, for automatic spea... [more] SP2015-47
pp.67-72
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, ASJ-H 2015-02-13
15:30
Ehime Ehime University, Johoku Campus Detection of Speaker Change with Mel-Cepstrum Considering Speaker-Microphone Distance
Masashi Tateno, Eiji Kamioka (SIT)
Aiming at achieving high performance speaker identification using mobile-device, some methods which extract vocal tract ... [more] WIT2014-76
pp.21-26
SP 2015-01-22
15:30
Gifu Juroku Plaza Analysis of effects of voice mimicry on speaker verification and acoustic features of the imitated voices
Koji Iwano, Taito Sone, Kanako Sakamoto (Tokyo City Univ.) SP2014-134
It is quite important to recognize the vulnerability of speaker verification (SV) systems against voice mimicry attacks ... [more] SP2014-134
pp.43-48
MBE, BioX 2014-09-12
13:55
Nagano Shinshu University A study on speaker authentication using LSP information of CELP encoder
Naoki Nishizawa, Takahiro Yoshida, Seiichiro Hangai (Tokyo Univ. of Science) BioX2014-15 MBE2014-38
Analysis-synthesis coding method of speech called CELP in VoIP and cellular phones are used. It is believed to be able t... [more] BioX2014-15 MBE2014-38
pp.27-32
SP, IPSJ-SLP
(Joint)
2014-07-25
09:00
Iwate Hotel Hanamaki Speaker Change Detection using Mel Logarithm Power-Cepstrum and MFCC
Masashi Tateno, Eiji Kamioka (Shibaura Inst. of Tech.) SP2014-64
Aiming at developing a sophisticated voice recognition service, some approaches such as use of training data to the targ... [more] SP2014-64
pp.7-12
 Results 1 - 20 of 34  /  [Next]  
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