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Volumn , Issue , 2004, Pages 2937-2940

Speaker clustering of speech utterances using a voice characteristic reference space

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL CONDITIONS; FEATURE REPRESENTATION; NOCV2; PROJECTION VECTORS; SPEAKER CLUSTERING; SPEECH UTTERANCE; VOICE CHARACTERISTICS;

EID: 64149092838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (16)
  • 1
    • 0024899244 scopus 로고    scopus 로고
    • Unsupervised speaker adaptation method based on hierarchical spectral clustering
    • Furui, S., "Unsupervised speaker adaptation method based on hierarchical spectral clustering", Proc. ICASSP'89.
    • Proc. ICASSP'89
    • Furui, S.1
  • 2
    • 0026400244 scopus 로고    scopus 로고
    • Segregation of speakers for speech recognition and speaker identification
    • Gish, Herbert, Siu, M.-H., and Rohlicek, R., "Segregation of speakers for speech recognition and speaker identification", Proc. ICASSP'91.
    • Proc. ICASSP'91
    • Gish, H.1    Siu, M.-H.2    Rohlicek, R.3
  • 3
    • 85009078667 scopus 로고    scopus 로고
    • Tree-structured speaker clustering for fast speaker adaptation
    • Kosaka, T. and Sagayama, S., "Tree-structured speaker clustering for fast speaker adaptation", Proc. ICASSP'94.
    • Proc. ICASSP'94
    • Kosaka, T.1    Sagayama, S.2
  • 8
    • 84875953283 scopus 로고    scopus 로고
    • Clustering via the Bayesian information criterion with applications in speech recognition
    • Chen, S. S. and Gopalakrishnan, P. S., "Clustering via the Bayesian information criterion with applications in speech recognition", Proc. ICASSP'98.
    • Proc. ICASSP'98
    • Chen, S.S.1    Gopalakrishnan, P.S.2
  • 9
    • 56149091283 scopus 로고    scopus 로고
    • Who spoke when? - Automatic segmentation and clustering for determining speaker turns
    • Johnson, S. E., "Who spoke when? - Automatic segmentation and clustering for determining speaker turns", Proc. Eurospeech'99.
    • Proc. Eurospeech'99
    • Johnson, S.E.1
  • 10
    • 85009089453 scopus 로고    scopus 로고
    • Unsupervised audio stream segmentation and clustering via the Bayesian information criterion
    • Zhou, B., and Hansen, J. H. L., "Unsupervised audio stream segmentation and clustering via the Bayesian information criterion", Proc. ICSLP'00.
    • Proc. ICSLP'00
    • Zhou, B.1    Hansen, L.J.H.2
  • 11
    • 0036650810 scopus 로고    scopus 로고
    • Unsupervised speaker recognition based on competition between self-organizing maps
    • Lapidot, I., Guterman, H., and Cohen, A., "Unsupervised speaker recognition based on competition between self-organizing maps", IEEE Trans. Neural Networks, 13(4):877-887, 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.4 , pp. 877-887
    • Lapidot, I.1    Guterman, H.2    Cohen, A.3
  • 13
    • 4444316566 scopus 로고    scopus 로고
    • Background learning of speaker voices for text-independent speaker identification
    • Tsai, W. H., Chu, Y. C, Huang, C. S., and Chang, W. W., "Background learning of speaker voices for text-independent speaker identification", Proc. Eurospeech'01.
    • Proc. Eurospeech'01
    • Tsai, W.H.1    Chu, Y.C.2    Huang, C.S.3    Chang, W.W.4
  • 14
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted Gaussian mixture models
    • Reynolds, D. A., and Quatieri., T. F., Dunn, R. B., "Speaker verification using adapted Gaussian mixture models", Digital Signal Processing, 10:19-41, 2000.
    • (2000) Digital Signal Processing , vol.10 , pp. 19-41
    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3
  • 15
    • 85009092538 scopus 로고    scopus 로고
    • http://www.nist.gov/speech/tests/index.htm.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.