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Volumn , Issue , 2010, Pages 2806-2809

Fuzzy support vector machines for age and gender classification

Author keywords

Age classification; Fuzzy support vector machine; Gender classification; Paralinguistic challenge

Indexed keywords

LINGUISTICS; SPEECH COMMUNICATION; STATISTICS;

EID: 79959858399     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 0004080521 scopus 로고
    • The pronunciation of English in Australia
    • Mitchell, A.G. and Delbridge, A., "The Pronunciation of English in Australia", A. & R., Syd, 1119, 1965
    • (1965) A. & R., Syd , vol.1119
    • Mitchell, A.G.1    Delbridge, A.2
  • 2
    • 0030365534 scopus 로고    scopus 로고
    • Robust gender-dependent acoustic-phonetic modelling in continuous speech recognition based on a new automatic male-female classification
    • Vergin, R., Farhat, A. and O'Shaughnessy, D., "Robust Gender-Dependent Acoustic-Phonetic Modelling in Continuous Speech Recognition Based on a New Automatic Male-Female Classification", in Proceedings of International Conferences on Spoken Language Processing (ICSLP), 2, 1081-1084, 1996.
    • (1996) Proceedings of International Conferences on Spoken Language Processing (ICSLP) , vol.2 , pp. 1081-1084
    • Vergin, R.1    Farhat, A.2    O'Shaughnessy, D.3
  • 5
    • 51449091542 scopus 로고    scopus 로고
    • Age and gender recognition for telephone applications based on GMM supervectors and support vector machines
    • 7.2
    • Bocklet, T., Maier, A., Bauer, J.G., Burkhardt, F. and Noth, E., "Age and gender recognition for telephone applications based on GMM supervectors and support vector machines," Proc. ICASSP, 7, 7.2, 2008.
    • (2008) Proc. ICASSP , vol.7
    • Bocklet, T.1    Maier, A.2    Bauer, J.G.3    Burkhardt, F.4    Noth, E.5
  • 6
    • 84994747210 scopus 로고    scopus 로고
    • Exploiting speech for recognizing elderly users to respond to their special needs
    • Geneva; Switzerland, Sept.
    • Muller, C., Wittig, F. and Baus, J., "Exploiting speech for recognizing elderly users to respond to their special needs," in Proc. Eurospeech 2003, Geneva; Switzerland, Sept. 2003.
    • (2003) Proc. Eurospeech 2003
    • Muller, C.1    Wittig, F.2    Baus, J.3
  • 7
    • 0036299156 scopus 로고    scopus 로고
    • Automatic estimation of ones age with his/her speech based upon acoustic modeling techniques of speakers
    • Orlando, FL; USA, May
    • Minematsu, N., Sekiguchi, M. and Hirose, K., "Automatic estimation of ones age with his/ her speech based upon acoustic modeling techniques of speakers," in Proc. ICASSP 2002, Orlando, FL; USA, May 2002.
    • (2002) Proc. ICASSP 2002
    • Minematsu, N.1    Sekiguchi, M.2    Hirose, K.3
  • 10
    • 33746862597 scopus 로고    scopus 로고
    • A robust fuzzy support vector machine for two-class pattern classification
    • Lee, G.H., Taur, J. S. and Tao, C.W., "A Robust Fuzzy Support Vector Machine for Two-class Pattern Classification", International Journal of Fuzzy Systems, 8(2), 76-87, 2006.
    • (2006) International Journal of Fuzzy Systems , vol.8 , Issue.2 , pp. 76-87
    • Lee, G.H.1    Taur, J.S.2    Tao, C.W.3
  • 12
    • 79959859033 scopus 로고    scopus 로고
    • A novel parameter refinement approach for one class support vector machine
    • submitted to
    • Le, T., Tran, D., Ma, W. and Sharma, D., "A Novel Parameter Refinement Approach for One Class Support Vector Machine," submitted to PRICAI 2010 conference.
    • PRICAI 2010 Conference
    • Le, T.1    Tran, D.2    Ma, W.3    Sharma, D.4
  • 15
    • 77949415384 scopus 로고    scopus 로고
    • OpenEAR - Introducing the munich open-source emotion and affect recognition toolkit
    • Amsterdam, Netherlands
    • Eyben, F., Wollmer, M. and Schuller, B., "openEAR - Introducing the Munich Open-Source Emotion and Affect Recognition Toolkit," in Proc. ACII, Amsterdam, Netherlands, 576581, 2009.
    • (2009) Proc. ACII , pp. 576581
    • Eyben, F.1    Wollmer, M.2    Schuller, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.