Detection of negative emotional state in speech with anfis and genetic algorithms

Models and Analysis of Vocal Emissions for Biomedical Applications - 6th International Workshop, MAVEBA 2009

Volumn , Issue , 2009, Pages 25-28

  Espinosa, Humberto Pérez ^a   García, Carlos Alberto Reyes ^a  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

Author keywords

Acoustic speech features; ANFIS applications; Emotion recognition; Feature selection; Genetic algorithms

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; INFERENCE ENGINES; MEDICAL APPLICATIONS; SOFT COMPUTING;

ACOUSTIC FEATURES; ACOUSTIC SPEECH; CLASSIFICATION SYSTEM; EMOTION RECOGNITION; EMOTIONAL STATE; FUZZY INFERENCE SYSTEMS; SOFTCOMPUTING TECHNIQUES; SYSTEM IMPLEMENTATION;

SPEECH RECOGNITION;

EID: 84908320056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Vidrascu, L Devillers, L. Real-life emotion representation and detection in call centers data. Lecture Notes on Computer Science. V3784. 739-746. 2005
2. González, G.M., 1999. Bilingual computer-assisted psychological assessment: an innovative approach for screening depression in chicanos/latinos. Tech. Rep. 39, University of Michigan.
3. Murray, I. R. and Arnott, J. L., "Toward the simulation of emotion in synthetic speech: a review of the literature on human vocal emotion", Journal of the Acoustical Society of America. V93 i2. 1097-1108, 1993.
4. Boersma, P., Weenink, D. Praat v. 4.0.8. "A system for doing phonetics by computer", Institute of Phonetic Sciences of the University of Amsterdam. February, 2002
5. De Jong, N.H. and Wempe, T., "Automatic measurement of speech rate in spoken Dutch", ACLC Working papers, 2 (2), 49-58, 2007.
6. Bhuta, T., Patrick, L., Garnett, J. "Perceptual evaluation of voice quality and its correlation with acoustic measurements", Journal of Voice, 18 (3): 299-304. 2004.
7. J.-S. Roger Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference Systems," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 03, pp 665-685, May 1993.
8. Steidl, S.: "Automatic Classification of Emotion-Related User States in Spontaneous Children's Speech", Logos Verlag, Berlin, 2009.
9. Schuller, B.; Steidl, S.; Batliner, A.: "The Interspeech 2009 Emotion Challenge", Interspeech (2009), ISCA, Brighton, UK, 2009.