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Volumn , Issue , 2010, Pages

Characterization of emotions using the dynamics of prosodic features

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; SUPPORT VECTOR MACHINES;

EID: 85082473748     PISSN: 23332042     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 2
    • 14644439843 scopus 로고    scopus 로고
    • Toward detecting emotions in spoken dialogs
    • March
    • C. M. Lee and S. S. Narayanan, “Toward detecting emotions in spoken dialogs,” IEEE Trans. Speech and Audio Processing, vol. 13, no. 2, pp. 293-303, March 2005.
    • (2005) IEEE Trans. Speech and Audio Processing , vol.13 , Issue.2 , pp. 293-303
    • Lee, C.M.1    Narayanan, S.S.2
  • 6
    • 0242721417 scopus 로고    scopus 로고
    • Speech emotion recognition using hidden Markov models
    • Nov
    • T. L. Nwe, S. W. Foo, and L. C. D. Silva, “Speech emotion recognition using hidden Markov models,” Speech Communication, vol. 41, no. 4, pp. 603-623, Nov. 2003.
    • (2003) Speech Communication , vol.41 , Issue.4 , pp. 603-623
    • Nwe, T.L.1    Foo, S.W.2    Silva, L.C.D.3
  • 7
    • 85015230373 scopus 로고    scopus 로고
    • Spoken emotion recognition through optimum-path forest classification using glottal features
    • press
    • A. I. Iliev, M. S. Scordilis, J. P. Papa, and A. X. Falco, “Spoken emotion recognition through optimum-path forest classification using glottal features,” CSL, vol. in press, 2009.
    • (2009) CSL
    • Iliev, A.I.1    Scordilis, M.S.2    Papa, J.P.3    Falco, A.X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.