Speech emotional features measured by power-law distribution based on electroglottography

Lijiang Chen, Xia Mao, Yuli Xue, Mitsuru Ishizuka

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This study was designed to introduce a kind of novel speech emotional features extracted from Electroglot-tography (EGG). These features were obtained from the power-law distribution coefficient (PLDC) of fundamental frequency (F 0) and duration parameters. First, the segments of silence, voiced and unvoiced (SUV) were distinguished by combining the EGG and speech information. Second, the F 0 of voiced segment and the first-order differential of F 0 was obtained by a cepstrum method. Third, PLDC of voiced segment as well as the pitch rise and pitch down duration were calculated. Simulation results show that the proposed features are closely connected with emotions. Experiments based on Support Vector Machine (SV M) are carried out. The results show that proposed features are better than those commonly used in the case of speaker independent emotion recognition.

本文言語English
ホスト出版物のタイトルBIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
ページ131-136
ページ数6
出版ステータスPublished - 2012
外部発表はい
イベントInternational Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012 - Vilamoura, Algarve
継続期間: 2012 2 12012 2 4

Other

OtherInternational Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012
CityVilamoura, Algarve
Period12/2/112/2/4

ASJC Scopus subject areas

  • 信号処理

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