Cepstral and long-term features for emotion recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 344-347

  Dumouchel, Pierre ^a,c   Dehak, Najim ^a,c   Attabi, Yazid ^a,c   Dehak, Reda ^b   Boufaden, Narjès ^c  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b EPITA RESEARCH AND DEVELOPMENT LABORATORY LRDE   (France)

^c Cent de Recherche Informatique de Montreal   (Canada)

Author keywords

Gaussian mixture models; Legendre polynomial; Logistic regression; Pseudo syllable; Support vector machines

Indexed keywords

CEPSTRAL; EMOTION DETECTION; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; INDIVIDUAL SYSTEMS; LEGENDRE POLYNOMIALS; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS; SPEECH FEATURES; THREE SYSTEMS;

COMMUNICATION CHANNELS (INFORMATION THEORY); FACE RECOGNITION; LOGISTICS; MAGNETOSTRICTIVE DEVICES; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

SPEECH COMMUNICATION;

EID: 70450191305     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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