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Volumn , Issue , 2010, Pages 1586-1590

Determining optimal signal features and parameters for HMM-based emotion classification

Author keywords

[No Author keywords available]

Indexed keywords

DATA MATERIALS; EMOTION CLASSIFICATION; EMOTION RECOGNITION; OPTIMAL PARAMETER; OPTIMAL SIGNALS; PARAMETER SET; RECOGNITION OF EMOTION; SIGNAL FEATURES; SMARTKOM; VALIDATION METHODS;

EID: 77954304406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MELCON.2010.5476295     Document Type: Conference Paper
Times cited : (22)

References (8)
  • 7
    • 70450176954 scopus 로고    scopus 로고
    • Processing affected speech within human machine interaction
    • Brighton, UK, September
    • B. Vlasenko and A. Wendemuth, "Processing affected speech within human machine interaction," in Proceedings of the 10th Interspeech, Brighton, UK, September 2009, pp. 2039-2042.
    • (2009) Proceedings of the 10th Interspeech , pp. 2039-2042
    • Vlasenko, B.1    Wendemuth, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.