Detection of stress and emotion in speech using traditional and FFT based log energy features

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 3, Issue , 2003, Pages 1619-1623

  New, T L ^a   Foo, S W ^b   De Silva, L C ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c MASSEY UNIVERSITY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

FAST FOURIER TRANSFORMS; MULTIMEDIA SIGNAL PROCESSING; SIGNAL DETECTION; SIGNAL PROCESSING;

EMOTION CLASSIFICATION; EMOTIONAL SPEECH; ENERGY FEATURE; HUMAN STRESS; POWER COEFFICIENTS; TIME AND FREQUENCY DOMAINS; TRADITIONAL APPROACHES; TRADITIONAL SYSTEMS;

SPEECH RECOGNITION;

EID: 35348830820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292741     Document Type: Conference Paper

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