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Volumn , Issue , 2005, Pages 3101-3104

Conceiving a new sequence kernel and applying it to SVM speaker verification

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC PROPERTIES; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; VECTORS;

EID: 33745187991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 33645793768 scopus 로고    scopus 로고
    • Speaker identification via support vector machines
    • M. Schmidt and H. Gish, "Speaker identification via support vector machines," in Proc. ICASSP, 1996.
    • (1996) Proc. ICASSP
    • Schmidt, M.1    Gish, H.2
  • 3
    • 1942452419 scopus 로고    scopus 로고
    • A kernel between sets of vectors
    • R. Kondor and Jebara T., "A kernel between sets of vectors," in Proc. ICML, 2003.
    • (2003) Proc. ICML
    • Kondor, R.1    Jebara, T.2
  • 4
    • 84867591774 scopus 로고    scopus 로고
    • A new svm approach to speaker identification and verification using probabilistic distance kernels
    • P. Moreno and P. Ho, "A new svm approach to speaker identification and verification using probabilistic distance kernels," in Proc. Eurospeech, 2003.
    • (2003) Proc. Eurospeech
    • Moreno, P.1    Ho, P.2
  • 5
    • 27144504455 scopus 로고    scopus 로고
    • Speaker verification using sequence discriminant support vector machines
    • V. Wan and S. Renals, "Speaker verification using sequence discriminant support vector machines," IEEE Trans. on Speech and Audio Processing, 2004.
    • (2004) IEEE Trans. on Speech and Audio Processing
    • Wan, V.1    Renals, S.2
  • 6
    • 0036289656 scopus 로고    scopus 로고
    • Generalized linear discriminant sequence kernels for speaker recognition
    • W.M. Campbell, "Generalized linear discriminant sequence kernels for speaker recognition," in Proc. ICASSP, 2002.
    • (2002) Proc. ICASSP
    • Campbell, W.M.1
  • 7
    • 33745223006 scopus 로고
    • chapter Spline Models for Observational Data, CBMS-NSF Regional Conference Series
    • G. Wahba, Applied Mathematics, vol. 59, chapter Spline Models for Observational Data, CBMS-NSF Regional Conference Series, 1990.
    • (1990) Applied Mathematics , vol.59
    • Wahba, G.1
  • 8
    • 0000913324 scopus 로고    scopus 로고
    • Svmtorch : Support vector machines for large-scale regression problems
    • R. Collobert and Bengio, "Svmtorch : Support vector machines for large-scale regression problems," Journal of Learning Machine Research, 2001.
    • (2001) Journal of Learning Machine Research
    • Collobert, R.1    Bengio2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.