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Volumn 3817 LNAI, Issue , 2005, Pages 303-317

Spotting multilingual consonant-vowel units of speech using neural network models

Author keywords

[No Author keywords available]

Indexed keywords

BROADCASTING; DATA ACQUISITION; DISTRIBUTED COMPUTER SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; VECTORS;

EID: 33745477715     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (20)
  • 4
    • 10944227302 scopus 로고    scopus 로고
    • Acoustic model combination for recognition of speech in multiple languages using support vector machines
    • Budapest, Hungary
    • S. V. Gangashetty, C. Chandra Sekhar, and B. Yegnanarayana: Acoustic model combination for recognition of speech in multiple languages using support vector machines. In: Proc. IEEE Int. Joint Conf. Neural Networks (Budapest, Hungary). Volume 4(4). (2004) 3065-3069
    • (2004) Proc. IEEE Int. Joint Conf. Neural Networks , vol.4 , Issue.4 , pp. 3065-3069
    • Gangashetty, S.V.1    Chandra Sekhar, C.2    Yegnanarayana, B.3
  • 6
    • 10944235133 scopus 로고    scopus 로고
    • Dimension reduction using autoassociative neural network models for recognition of consonant-vowel units of speech
    • ISI Calcutta, India
    • S. V. Gangashetty, C. Chandra Sekhar, and B. Yegnanarayana: Dimension reduction using autoassociative neural network models for recognition of consonant-vowel units of speech. In: Proc. Fifth Int. Conf. Advances in Pattern Recognition (ISI Calcutta, India). (2003) 156-159
    • (2003) Proc. Fifth Int. Conf. Advances in Pattern Recognition , pp. 156-159
    • Gangashetty, S.V.1    Chandra Sekhar, C.2    Yegnanarayana, B.3
  • 9
    • 0029774895 scopus 로고    scopus 로고
    • Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech
    • C. Chandra Sekhar and B. Yegnanarayana: Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech. In: Proc. Int. Conf. Neural Networks. (1996) 2003-2008
    • (1996) Proc. Int. Conf. Neural Networks , pp. 2003-2008
    • Chandra Sekhar, C.1    Yegnanarayana, B.2
  • 14
    • 0035989168 scopus 로고    scopus 로고
    • AANN-An alternative to GMM for pattern recognition
    • B. Yegnanarayana and S. P. Kishore: AANN-An alternative to GMM for pattern recognition. Neural Networks 15 (2002) 459-469
    • (2002) Neural Networks , vol.15 , pp. 459-469
    • Yegnanarayana, B.1    Kishore, S.P.2
  • 16
    • 0019053271 scopus 로고
    • Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
    • S. B. Davis and P. Mermelstein: Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust., Speech, and Signal Processing 28 (1980) 357-366
    • (1980) IEEE Trans. Acoust., Speech, and Signal Processing , vol.28 , pp. 357-366
    • Davis, S.B.1    Mermelstein, P.2
  • 17
    • 0022548705 scopus 로고
    • On the role of spectral transition for speech perception
    • S. Furui: On the role of spectral transition for speech perception. J. Acoust. Soc. Am. 80(4) (1986) 1016-1025
    • (1986) J. Acoust. Soc. Am. , vol.80 , Issue.4 , pp. 1016-1025
    • Furui, S.1
  • 18
    • 0036816474 scopus 로고    scopus 로고
    • A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances
    • C. Chandra Sekhar and B. Yegnanarayana: A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances. IEEE Trans. Speech and Audio Processing 10 (2002) 472-480
    • (2002) IEEE Trans. Speech and Audio Processing , vol.10 , pp. 472-480
    • Chandra Sekhar, C.1    Yegnanarayana, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.