Speech Emotion Recognition Based on Parametric Filter and Fractal Dimension

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概要

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• In this paper, we propose a new method that employs two novel features, correlation density (Cd) and fractal dimension (Fd), to recognize emotional states contained in speech. The former feature obtained by a list of parametric filters reflects the broad frequency components and the fine structure of lower frequency components, contributed by unvoiced phones and voiced phones, respectively; the latter feature indicates the non-linearity and self-similarity of a speech signal. Comparative experiments based on Hidden Markov Model and K Nearest Neighbor methods are carried out. The results show that Cd and Fd are much more closely related with emotional expression than the features commonly used.

• 2010-08-01

著者

• Mao Xia

  School Of Electronic And Information Engineering Beihang University

• CHEN Lijiang

  School of electronic and information engineering, Beihang University

• Chen Lijiang

  School Of Electronic And Information Engineering Beihang University

関連論文

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• Affect Computation of Chinese Short Text

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