Presentation 2003/12/11
Deterministic Annealing EM algorithm for speaker and speech recognition
Y. ITAYA, H. ZEN, Y. NANKAKU, C. MIYAJIMA, K. TOKUDA, T. KITAMURA,
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Abstract(in English) This paper investigates the effectiveness of a DAEM (Deterministic Annealing Expectation Maximization) algorithm for speaker and speech recognition. The EM (Expectation Maxmization) algorithm is widely used for paramete estimation of statistical models. However, the EM algorithm has the problem of initialization dependence. To relax this problem, the DAEM algorithm has been proposed. In this paper, we apply the DAEM algorithm to estimate acoustic models for speaker recognition and continuous speech recognition.
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Keyword(in English) EM algorithm / DAEM algorithm / speaker recognition / continuous speech recognition
Paper # NLC2003-50
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Committee NLC
Conference Date 2003/12/11(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Deterministic Annealing EM algorithm for speaker and speech recognition
Sub Title (in English)
Keyword(1) EM algorithm
Keyword(2) DAEM algorithm
Keyword(3) speaker recognition
Keyword(4) continuous speech recognition
1st Author's Name Y. ITAYA
1st Author's Affiliation Department of Computer Science and Enginnering, Nagoya Institute of Technology()
2nd Author's Name H. ZEN
2nd Author's Affiliation Department of Computer Science and Enginnering, Nagoya Institute of Technology
3rd Author's Name Y. NANKAKU
3rd Author's Affiliation Department of Computer Science and Enginnering, Nagoya Institute of Technology
4th Author's Name C. MIYAJIMA
4th Author's Affiliation Department of Media Science, Nagoya University
5th Author's Name K. TOKUDA
5th Author's Affiliation Department of Computer Science and Enginnering, Nagoya Institute of Technology
6th Author's Name T. KITAMURA
6th Author's Affiliation Department of Computer Science and Enginnering, Nagoya Institute of Technology
Date 2003/12/11
Paper # NLC2003-50
Volume (vol) vol.103
Number (no) 517
Page pp.pp.-
#Pages 6
Date of Issue