메뉴 건너뛰기




Volumn , Issue , 2008, Pages 313-316

Performance analysis of spectral and prosodic features and their for emotion recognition in speech

Author keywords

Emotion Recognition, Fusing SVM and GMM.

Indexed keywords

EMOTION DETECTION; EMOTION RECOGNITION; EMOTION RECOGNITION, FUSING SVM AND GMM.; EMOTIONAL DATABASE; FEATURE SELECTION ALGORITHM; GAUSSIAN MIXTURES; K-NEAREST NEIGHBORS; PERFORMANCE ANALYSIS; PROSODIC FEATURES; T - NORM;

EID: 67649524984     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2008.4777903     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 2
    • 67649529290 scopus 로고    scopus 로고
    • An 'open-set' detection evaluation methodology for automatic emotion recognition in speech
    • Truong K. P. and Leeuwen D. A. V., "An 'open-set' detection evaluation methodology for automatic emotion recognition in speech," in Proceedings of Interspeech, 2007.
    • (2007) in Proceedings of Interspeech
    • Truong, K.P.1    Leeuwen, D.A.V.2
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C. J. C., "A tutorial on support vector machines for pattern recognition.," in Data Mining and Knowledge Discovery, 1998, vol.2, pp. 121-167. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.