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Volumn , Issue , 2007, Pages 119-124

GMM-Based Speech Transformation Systems under Data Reduction

Author keywords

GMM; learning data reduction; voice conversion

Indexed keywords

GAUSSIAN DISTRIBUTION; METADATA;

EID: 85047459969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 2
    • 84905560807 scopus 로고    scopus 로고
    • Voice conversion with smoothed gmm and map adaptation
    • Geneva, Switzerland, September
    • Y. Chen, M. Chu, E. Chang, and J. Liu, “Voice conversion with smoothed gmm and map adaptation,” in EUROSPEECH, Geneva, Switzerland, September 2003, pp. 2413 – 2416.
    • (2003) EUROSPEECH , pp. 2413-2416
    • Chen, Y.1    Chu, M.2    Chang, E.3    Liu, J.4
  • 5
    • 0033154052 scopus 로고    scopus 로고
    • Speaker transformation algorithm using segmental codebooks (stasc)
    • L. M. Arslan, “Speaker transformation algorithm using segmental codebooks (stasc),” Speech Communication, vol. 28, pp. 211 – 226, 1999.
    • (1999) Speech Communication , vol.28 , pp. 211-226
    • Arslan, L. M.1
  • 9
    • 85135175982 scopus 로고
    • Statistical methods for voice quality transformation
    • Madrid, Espagne
    • Y. Stylianou, O. Capp, and E. Moulines, “Statistical methods for voice quality transformation,” in EUROSPEECH, Madrid, Espagne, 1995, pp. 447–450.
    • (1995) EUROSPEECH , pp. 447-450
    • Stylianou, Y.1    Capp, O.2    Moulines, E.3
  • 11
    • 15944402058 scopus 로고    scopus 로고
    • Reducing the number of training samples for fast support vector machine classification
    • March
    • K. Ravindra and H. Saman, “Reducing the number of training samples for fast support vector machine classification,” Neural Information Processing-Letters nd Reviews, vol. 2, March 2004.
    • (2004) Neural Information Processing-Letters nd Reviews , vol.2
    • Ravindra, K.1    Saman, H.2
  • 12
    • 0141830857 scopus 로고    scopus 로고
    • Stopping criterion for boosting-based data reduction techniques: from binary to multiclass problems
    • M. Sebban, R. Nock, and S. Lallich, “Stopping criterion for boosting-based data reduction techniques: from binary to multiclass problems,” Journal of machine learning research, vol. 3, pp. 863–885, 2002.
    • (2002) Journal of machine learning research , vol.3 , pp. 863-885
    • Sebban, M.1    Nock, R.2    Lallich, S.3
  • 14
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • G. Hughes, “On the mean accuracy of statistical pattern recognizers,” IEEETrans. Information Theory, vol. 14(1), pp. 55–63, 1968.
    • (1968) IEEETrans. Information Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.