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Volumn , Issue , 2010, Pages 5174-5177

Combining regression and classification methods for improving automatic speaker age recognition

Author keywords

Age classification; Gender classification; Support vector machines

Indexed keywords

REGRESSION ANALYSIS; SIGNAL PROCESSING; SPEECH RECOGNITION;

EID: 78049355199     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495006     Document Type: Conference Paper
Times cited : (28)

References (9)
  • 2
    • 0001937343 scopus 로고
    • Pitch duration characteristics of older males
    • Edward D. Mysak, "Pitch duration characteristics of older males," Journal of Speech and Hearing Research, vol. 2, pp. 46-54, 1959.
    • (1959) Journal of Speech and Hearing Research , vol.2 , pp. 46-54
    • Mysak, E.D.1
  • 4
    • 78049395657 scopus 로고    scopus 로고
    • Combining short-term cepstral and long-term prosodic features for automatic recognition of speaker age
    • C. Müller and F. Burkhardt, "Combining short-term cepstral and long-term prosodic features for automatic recognition of speaker age," in Interspeech, Antwerp, Belgium, August 2007, pp. 2277-2280.
    • Interspeech, Antwerp, Belgium, August 2007 , pp. 2277-2280
    • Müller, C.1    Burkhardt, F.2
  • 8
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • August
    • Alex J. Smola and Bernhard Schölkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, no. 3, pp. 1573-1375, August 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 1573-11375
    • Smola, A.J.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.