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Authors: Lijiang Chen 1 ; Xia Mao 1 ; Yuli Xue 1 and Mitsuru Ishizuka 2

Affiliations: 1 Beihang University, China ; 2 University of Tokyo, Japan

Keyword(s): Speech emotional features, Power-law distribution, Electroglottography.

Abstract: This study was designed to introduce a kind of novel speech emotional features extracted from Electroglottography (EGG). These features were obtained from the power-law distribution coefficient (PLDC) of fundamental frequency (F0) and duration parameters. First, the segments of silence, voiced and unvoiced (SUV) were distinguished by combining the EGG and speech information. Second, the F0 of voiced segment and the first-order differential of F0 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 (SVM) are carried out. The results show that proposed features are better than those commonly used in the case of speaker independent emotion recognition.

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Paper citation in several formats:
Chen, L.; Mao, X.; Xue, Y. and Ishizuka, M. (2012). SPEECH EMOTIONAL FEATURES MEASURED BY POWER-LAW DISTRIBUTION BASED ON ELECTROGLOTTOGRAPHY. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS; ISBN 978-989-8425-89-8; ISSN 2184-4305, SciTePress, pages 131-136. DOI: 10.5220/0003886301310136

@conference{biosignals12,
author={Lijiang Chen. and Xia Mao. and Yuli Xue. and Mitsuru Ishizuka.},
title={SPEECH EMOTIONAL FEATURES MEASURED BY POWER-LAW DISTRIBUTION BASED ON ELECTROGLOTTOGRAPHY},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS},
year={2012},
pages={131-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003886301310136},
isbn={978-989-8425-89-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS
TI - SPEECH EMOTIONAL FEATURES MEASURED BY POWER-LAW DISTRIBUTION BASED ON ELECTROGLOTTOGRAPHY
SN - 978-989-8425-89-8
IS - 2184-4305
AU - Chen, L.
AU - Mao, X.
AU - Xue, Y.
AU - Ishizuka, M.
PY - 2012
SP - 131
EP - 136
DO - 10.5220/0003886301310136
PB - SciTePress

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