메뉴 건너뛰기




Volumn 16, Issue 1, 2009, Pages 49-52

An SVM Kernel With GMM-Supervector Based on the Bhattacharyya Distance for Speaker Recognition

Author keywords

Gaussian mixture model; National Institute of Standards and Technology (NIST) evaluation; speaker recognition; supervector; support vector machine

Indexed keywords


EID: 85008056687     PISSN: 10709908     EISSN: 15582361     Source Type: Journal    
DOI: 10.1109/LSP.2008.2006711     Document Type: Article
Times cited : (90)

References (14)
  • 1
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted Gaussian mixture models
    • D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, “Speaker verification using adapted Gaussian mixture models,” Digit. Signal Process., no. 10, pp. 19–41, 2000.
    • (2000) Digit. Signal Process. , Issue.10 , pp. 19-41
    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3
  • 3
    • 33645887246 scopus 로고    scopus 로고
    • Support vector machines using GMM supervectors for speaker verification
    • W. M. Campbell, D. E. Sturim, and D. A. Reynolds, “Support vector machines using GMM supervectors for speaker verification,” IEEE Signal Process. Lett., vol. 13, pp. 308–311, 2006.
    • (2006) IEEE Signal Process. Lett. , vol.13 , pp. 308-311
    • Campbell, W.M.1    Sturim, D.E.2    Reynolds, D.A.3
  • 4
    • 0001927585 scopus 로고
    • On information and sufficiency
    • S. Kullback and R. A. Leibler, “On information and sufficiency,” Ann. Math. Statist., vol. 22, pp. 79–86, 1951.
    • (1951) Ann. Math. Statist. , vol.22 , pp. 79-86
    • Kullback, S.1    Leibler, R.A.2
  • 5
    • 65249157560 scopus 로고
    • The divergence and Bhattacharyya distance measures in signal selection
    • Feb.
    • T. Kailath, “The divergence and Bhattacharyya distance measures in signal selection,” IEEE Trans. Commun. Technol., vol. COM-15, pp. 52–60, Feb. 1967.
    • (1967) IEEE Trans. Commun. Technol. , vol.COM-15 , pp. 52-60
    • Kailath, T.1
  • 7
    • 4143152576 scopus 로고    scopus 로고
    • The NIST Year 2006 Speaker Recognition Evaluation Plan
    • [Online]. Available
    • M. Przybocki and A. Martin, The NIST Year 2006 Speaker Recognition Evaluation Plan, 2006. [Online]. Available: http://www.nist.gov/speech/tests/spk/2006/.
    • (2006)
    • Przybocki, M.1    Martin, A.2
  • 9
    • 14644392676 scopus 로고    scopus 로고
    • Kernel Methods for Pattern Analysis
    • Cambridge, U.K.
    • J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis. Cambridge, U.K., 2004.
    • (2004)
    • Shawe-Taylor, J.1    Cristianini, N.2
  • 10
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • R. Collobert and S. Bengio, “SVMTorch: Support vector machines for large-scale regression problems,” J. Mach. Learn. Res., vol. 1, pp. 143–160, 2001.
    • (2001) J. Mach. Learn. Res. , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 11
    • 33645848266 scopus 로고    scopus 로고
    • Channel compensation for SVM speaker recognition
    • A. Solomonoff, W. M. Campbell, and C. Quillen, “Channel compensation for SVM speaker recognition,” in Proc. Odyssey04, 2004, pp. 57–62.
    • (2004) Proc. Odyssey04 , pp. 57-62
    • Solomonoff, A.1    Campbell, W.M.2    Quillen, C.3
  • 13
    • 0033884857 scopus 로고    scopus 로고
    • Score normalization for text-independent speaker verification systems
    • Jan.
    • R. Auckenthaler, M. Carey, and H. Lloyd-Thomas, “Score normalization for text-independent speaker verification systems,” Digit. Signal Process., vol. 10, pp. 42–54, Jan. 2000.
    • (2000) Digit. Signal Process. , vol.10 , pp. 42-54
    • Auckenthaler, R.1    Carey, M.2    Lloyd-Thomas, H.3
  • 14
    • 34547507232 scopus 로고    scopus 로고
    • GMM supervector based SVM with spectral features for speech emotion recognition
    • H. Hu, M. X. Xu, and W. Wu, “GMM supervector based SVM with spectral features for speech emotion recognition,” in Proc. Int. Conf. Acoustics, Speech, and Signal Processing, 2007, vol. 4, pp. 413–416.
    • (2007) Proc. Int. Conf. Acoustics, Speech, and Signal Processing , vol.4 , pp. 413-416
    • Hu, H.1    Xu, M.X.2    Wu, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.