Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition(Feature Extraction and Acoustic Medelings, <Special Section>Corpus-Based Speech Technologies)

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概要

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• This paper investigates the effectiveness of the DAEM (Deterministic Annealing EM) algorithm in acoustic modeling for speaker and speech recognition. Although the EM algorithm has been widely used to approximate the ML estimates, it has the problem of initialization dependence. To relax this problem, the DAEM algorithm has been proposed and confirmed the effectiveness in artificial small tasks. In this paper, we applied the DAEM algorithm to practical speech recognition tasks: speaker recognition based on GMMs and continuous speech recognition based on HMMs. Experimental results show that the DAEM algorithm can improve the recognition performance as compared to the standard EM algorithm with conventional initialization algorithms, especially in the flat start training for continuous speech recognition.

• 社団法人電子情報通信学会の論文
• 2005-03-01

著者

• Zen Heiga

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• Tokuda Keiichi

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• KITAMURA Tadashi

  Department of Computer Science and Engineering, Nagoya Institute of Technology

• MIYAJIMA Chiyomi

  Department of Computer Science and Engineering, Nagoya Institute of Technology

• Miyajima Chiyomi

  Department Of Media Science Nagoya University

• Kitamura Tadashi

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• Kitamura Tadashi

  Department Of Cardiothoracic Surgery The University Of Tokyo

• Nankaku Yoshihiko

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• Tokuda Keiichi

  Department Of Computer Science Naogya Institute Of Technology

• ITAYA Yohei

  Department of Computer Science and Engineering, Nagoya Institute of Technology

• Itaya Yohei

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• Zen Heiga

  Department Of Computer Science Naogya Institute Of Technology

• Kitamura Tadashi

  Department Of Cardiothoracic Surgery Faculty Of Medicine University Of Tokyo

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