Vowels formants analysis allows straightforward detection of high arousal emotions

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn , Issue , 2011, Pages

  Vlasenko, Bogdan ^a   Philippou Hübner, David ^a   Prylipko, Dmytro ^a   Böck, Ronald ^a   Siegert, Ingo ^a   Wendemuth, Andreas ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

affective speech; emotion detection; formant analysis

Indexed keywords

ACOUSTIC FEATURE VECTORS; AFFECTIVE SPEECH; CONTEXT DEPENDENT; EMOTION CLASSIFICATION; EMOTION DETECTION; EMOTION RECOGNITION; EMOTIONAL SPEECH SYNTHESIS; ERROR RATE; FORMANT ANALYSIS; FORMANT VALUES; HIGH QUALITY; HUMAN MACHINE INTERACTION; NEYMAN - PEARSON CRITERION; RECOGNITION METHODS; RESEARCH COMMUNITIES; USE CONTEXT;

LINGUISTICS; RESEARCH; SPEECH SYNTHESIS;

SPEECH RECOGNITION;

EID: 80155168973     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2011.6012003     Document Type: Conference Paper

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