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Volumn , Issue , 2014, Pages 1331-1335

A study of acoustic features for the classification of depressed speech

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; MICROELECTRONICS;

EID: 84906903328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MIPRO.2014.6859774     Document Type: Conference Paper
Times cited : (15)

References (25)
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    • (2013) BSN. IEEE , pp. 1-6
    • Horwitz, R.1    Quatieri, T.F.2    Helfer, B.S.3    Yu, B.4    Williamson, J.R.5    Mundt, J.6
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    • Speaker verification using adapted gaussian mixture models
    • D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted gaussian mixture models." Digital Signal Processing, vol. 10, no. 1-3, pp. 19-41, 2000.
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    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3
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    • 84906218938 scopus 로고    scopus 로고
    • New cosine similarity scorings to implement gender-independent speaker verification
    • M. Senoussaoui, P. Kenny, P. Dumouchel, and N. Dehak, "New cosine similarity scorings to implement gender-independent speaker verification," in Proceedings of Interspeech. ISCA, 2013, pp. 2773-2777.
    • (2013) Proceedings of Interspeech. ISCA , pp. 2773-2777
    • Senoussaoui, M.1    Kenny, P.2    Dumouchel, P.3    Dehak, N.4
  • 19
    • 70449382434 scopus 로고    scopus 로고
    • Mel frequency cepstral feature and gaussian mixtures for modeling clinical depression in adolescents
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    • (2009) IEEE ICCI. IEEE Computer Society , pp. 346-350
    • Low, L.-S.A.1    Maddage, N.C.2    Lech, M.3    Allen, N.4
  • 20
    • 78650977476 scopus 로고    scopus 로고
    • OpenSMILE-the Munich versatile and fast open-source audio feature extractor
    • F. Eyben, M. Wöllmer, and B. Schuller, "OpenSMILE-the Munich versatile and fast open-source audio feature extractor," in Proceedings of ACM Multimedia (MM), 2010, pp. 1459-1462.
    • (2010) Proceedings of ACM Multimedia (MM) , pp. 1459-1462
    • Eyben, F.1    Wöllmer, M.2    Schuller, B.3
  • 21
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.