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Volumn 4, Issue , 2007, Pages

Gaussian mixture language models for speech recognition

Author keywords

Continuous space; Gaussian mixture model; Language model; N gram

Indexed keywords

CONTINUOUS SPACE; GAUSSIAN MIXTURE LANGUAGE MODEL; GAUSSIAN MIXTURE MODEL; N-GRAM;

EID: 34547534695     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367155     Document Type: Conference Paper
Times cited : (14)

References (9)
  • 3
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • C.J. Legetter and P.C. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Computer Speech & Language, vol. 9, pp. 171-185, 1995.
    • (1995) Computer Speech & Language , vol.9 , pp. 171-185
    • Legetter, C.J.1    Woodland, P.C.2
  • 4
    • 0033894473 scopus 로고    scopus 로고
    • Large Vocabulary Speech Recognition with Multispan Language Models
    • January
    • J. Bellegarda, "Large Vocabulary Speech Recognition with Multispan Language Models," in IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, pp. 76-84, January 2000.
    • (2000) IEEE Transactions on Speech and Audio Processing , vol.8 , Issue.1 , pp. 76-84
    • Bellegarda, J.1
  • 9
    • 84891308106 scopus 로고    scopus 로고
    • SRILM - an extensible language modeling toolkit
    • Denver, Colorado, Sept
    • A. Stolcke, "SRILM - an extensible language modeling toolkit," Proc. ICSLP'02, Denver, Colorado, Sept., 2002.
    • (2002) Proc. ICSLP'02
    • Stolcke, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.