Iterative feature normalization for emotional speech detection

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 5692-5695

  Busso, Carlos ^a   Metallinou, Angeliki ^b   Narayanan, Shrikanth S ^b  

^a The University of Texas at Dallas   (United States)

^b University of Southern California   (United States)

Author keywords

emotion recognition; emotions; feature normalization; fundamental frequency

Indexed keywords

ACOUSTIC FEATURES; APPROXIMATION ERRORS; CHANNEL EFFECT; CRITICAL PROBLEMS; EMOTION DETECTION; EMOTION RECOGNITION; EMOTIONAL SPEECH; EMOTIONS; FEATURE NORMALIZATION; FUNDAMENTAL FREQUENCIES; ITERATIVE APPROACH; SIGNAL VARIABILITY;

ERROR DETECTION; FEATURE EXTRACTION; SIGNAL DETECTION; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 80051611848     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947652     Document Type: Conference Paper

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