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Title: Study on Speaker Verification with Non-Audible Murmur Segments
Authors: Okamoto, Hideki
Kojima, Mariko
Matsui, Tomoko
Saruwatari, Hiroshi
Shikano, Kiyohiro
Kawanami, Hiromichi
Keywords: Speaker recognition
speaker verification
non-audible murmur
support vector machine
Issue Date: Aug-2007
Start page: 2017
End page: 2020
Abstract: 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 show that it is effective to use data recorded in multiple sessions. We also investigated the minimum number of training utterances needed in our method.
Description: INTERSPEECH2007: 8th Annual Conference of the International Speech Communication Association, August 27-31, 2007, Antwerp, Belgium.
Rights: Copyright 2007 ISCA
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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