Classification of speech under stress using physical features based on two-mass model

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概要

• 論文の詳細を見る

• We propose the classification methods of speech under stress based on a physical model, which characterizes the vocal folds and the vocal tract. We use physical parameters estimated by fitting a two-mass model to real speech, and two type of dynamic parameters are proposed to represent the short-term and long-term dynamic changes in physical characteristics. Experimental results show that our proposed features are effective and achieved better classification performance than features derived from traditional methods.

• 一般社団法人電子情報通信学会の論文
• 2013-02-21

著者

• Miyajima Chiyomi

  Graduate School of Information Science, Nagoya University

• Kitaoka Norihide

  Graduate School of Information Science, Nagoya University

• TAKEDA Kazuya

  Graduate School of Engineering, Nagoya University

• Yao Xiao

  Graduate School of Information Science, Nagoya University

• Jitsuhiro Takatoshi

  Graduate School of Information Science, Nagoya University

• Jitsuhiro Takatoshi

  Graduate School of Information Science, Nagoya University:Department of Media Informatics, Aichi University of Technology

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• Classification of speech under stress using physical features based on two-mass model

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