Presentation 2007/7/19
Evaluation of speaker verification with NAM segments using unknown speakers
Hideki OKAMOTO, Mariko KOJIMA, Tomoko MATSUI, Hiromichi KAWANAMI, Hiroshi SARUWATARI, Kiyohiro SHIKANO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We investigated a speaker verification method that uses non-audible murmur (NAM) segments using newly collected data and obtained several findings that will be useful when speaker verification systems are made in practice. NAM is recorded using a special microphone placed on the surface of the body, so it includes almost no external noise and is hard for other people to hear. By utilizing these properties, we have already reported a text-dependent method using NAM segments that can use a keyword phrase safely. This paper extends the examination with newly collected data consisting of NAM uttered by 18 male and 9 female imposter speakers and by 18 male and 10 female customer speakers. Experiments with various numbers of training utterances and sessions snow that it is effective to use data recorded in multiple sessions. We also investigated the minimum number of training utterances needed in our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speaker recognition / speaker verification / non-audible murmur / support vector machine
Paper # SP2007-37
Date of Issue

Conference Information
Committee SP
Conference Date 2007/7/19(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of speaker verification with NAM segments using unknown speakers
Sub Title (in English)
Keyword(1) Speaker recognition
Keyword(2) speaker verification
Keyword(3) non-audible murmur
Keyword(4) support vector machine
1st Author's Name Hideki OKAMOTO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Mariko KOJIMA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Tomoko MATSUI
3rd Author's Affiliation The Institute of Statistical Mathematics
4th Author's Name Hiromichi KAWANAMI
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
5th Author's Name Hiroshi SARUWATARI
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
6th Author's Name Kiyohiro SHIKANO
6th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2007/7/19
Paper # SP2007-37
Volume (vol) vol.107
Number (no) 165
Page pp.pp.-
#Pages 6
Date of Issue