Presentation 2014-12-16
A Study on Speaker Recognition Method in Consideration of Speaking Style Differences in Lecture Speech
Kota NAKATSUJI, Masafumi NISHIDA, Seiichi YAMAMOTO,
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Abstract(in English) Speaker recognition technology has been applied to achieve a variety of tasks such as minute taking and speaker search for a discussion and a meeting. In conventional studies, a speaker model trained in consideration of individuality has been mainly used to read speech. However, an influence on recognition accuracy with differences of speaking style has not been fully studied in the speaker recognition. Thus, we analyzed the influence on recognition accuracy with differences of speaking style from a viewpoint of within-speaker variance and between-speaker variance for lecture speech. We also applied a divided UBM, a LDA to distributions of UBM, and a LDA to a feature space of UBM as speaker recognition methods in consideration of differences of speaking style and evaluated an effectiveness of these methods compared with conventional UBM-MAP method.
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Keyword(in English) speaker recognition / speaking style / lecture speech / linear discriminant analysis / within-speaker variance / between-speaker variance
Paper # SP2014-123
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Committee SP
Conference Date 2014/12/8(1days)
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Language JPN
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Title (in English) A Study on Speaker Recognition Method in Consideration of Speaking Style Differences in Lecture Speech
Sub Title (in English)
Keyword(1) speaker recognition
Keyword(2) speaking style
Keyword(3) lecture speech
Keyword(4) linear discriminant analysis
Keyword(5) within-speaker variance
Keyword(6) between-speaker variance
1st Author's Name Kota NAKATSUJI
1st Author's Affiliation Graduate School of Engineering, Doshisha University()
2nd Author's Name Masafumi NISHIDA
2nd Author's Affiliation Institute of Innovation for Future Society, Nagoya University
3rd Author's Name Seiichi YAMAMOTO
3rd Author's Affiliation Graduate School of Engineering, Doshisha University
Date 2014-12-16
Paper # SP2014-123
Volume (vol) vol.114
Number (no) 365
Page pp.pp.-
#Pages 6
Date of Issue