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Volumn 40, Issue 3, 2003, Pages 351-363

Speech/music segmentation using entropy and dynamism features in a HMM classification framework

Author keywords

Audio segmentation; Dynamism; Entropy; GMM; HMM; MLP; Speech music discrimination

Indexed keywords

ACOUSTICS; ALGORITHMS; ENTROPY; NEURAL NETWORKS; SPEECH RECOGNITION; VECTORS;

EID: 0037401304     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(02)00087-0     Document Type: Article
Times cited : (113)

References (12)
  • 2
    • 21244451302 scopus 로고    scopus 로고
    • Improving posterior based confidence measures in hybrid hmm/ann speech recognition systems
    • Bernardis, G., Bourlard, H., 1998. Improving posterior based confidence measures in hybrid hmm/ann speech recognition systems, Internat. Conf. Spoken Language Process., Vol. 3, pp. 775-778.
    • (1998) Internat. Conf. Spoken Language Process. , vol.3 , pp. 775-778
    • Bernardis, G.1    Bourlard, H.2
  • 4
    • 3543118757 scopus 로고    scopus 로고
    • Speaker, environment and channel change detection and clustering via the Bayesian information criterion
    • Chen S.S., Gopalkrishnan P.S. Speaker, environment and channel change detection and clustering via the bayesian information criterion. IBM Tech. J. 1998.
    • (1998) IBM Tech. J
    • Chen, S.S.1    Gopalkrishnan, P.S.2
  • 6
    • 0001835663 scopus 로고
    • An introduction to the hybrid hmm/connectionist approach
    • Morgan N., Bourlard H. An introduction to the hybrid hmm/connectionist approach. IEEE Signal Proc. Magazine. (May):1995;25-42.
    • (1995) IEEE Signal Proc. Magazine , Issue.MAY , pp. 25-42
    • Morgan, N.1    Bourlard, H.2
  • 10
  • 11
    • 77958036231 scopus 로고    scopus 로고
    • Speech/music discrimination based on posterior probabilities
    • Williams, G., Ellis, D., 1999. Speech/music discrimination based on posterior probabilities, European Conf. Speech Comm. Technology, pp. 687-690.
    • (1999) European Conf. Speech Comm. Technology , pp. 687-690
    • Williams, G.1    Ellis, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.