메뉴 건너뛰기




Volumn 1, Issue , 2003, Pages 216-219

Towards automatic transcription of large spoken archives - English ASR for the malach project

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL ARCHIVES;

EID: 0141480043     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (13)
  • 1
    • 84871617834 scopus 로고    scopus 로고
    • http://www.clsp.jhu.edu/research/malach
  • 2
    • 85087537667 scopus 로고    scopus 로고
    • Supporting Access to Large Digital Oral History Archives
    • Portland, OR, July 15-17
    • Gustman, S., et al., "Supporting Access to Large Digital Oral History Archives,", Joint Conference on Digital Libraries, Portland, OR, July 15-17, 2002.
    • (2002) Joint Conference on Digital Libraries
    • Gustman, S.1
  • 3
    • 85079084846 scopus 로고
    • Robust Methods for using context dependent features and models in a continuous speech recognizer
    • Bahl, L.R., et al., "Robust Methods for using context dependent features and models in a continuous speech recognizer," Proceedings of the ICASSP, Vol. I, pp. 533, 1994.
    • (1994) Proceedings of the ICASSP , vol.1 , pp. 533
    • Bahl, L.R.1
  • 4
    • 84871623521 scopus 로고    scopus 로고
    • http://www.informedia.cs.cmu.edu
  • 5
    • 84871611116 scopus 로고    scopus 로고
    • http://www.ngsw.org
  • 6
    • 85009288286 scopus 로고    scopus 로고
    • Large Vocabulary Conversational Speech Recognition with the Extended Maximum Likelihood Linear Transformation (EMLLT) model
    • Sept.
    • Huang, J. et al., "Large Vocabulary Conversational Speech Recognition with the Extended Maximum Likelihood Linear Transformation (EMLLT) model", ICSLP, pp. 2597-2600, Sept. 2002.
    • (2002) ICSLP , pp. 2597-2600
    • Huang, J.1
  • 7
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • Leggetter, C. J., et al., "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Computer Speech and Language, Vol. 9, No. 2, pp. 171-186, 1995.
    • (1995) Computer Speech and Language , vol.9 , Issue.2 , pp. 171-186
    • Leggetter, C.J.1
  • 8
    • 84871610777 scopus 로고    scopus 로고
    • Language Model Data Selection for Czech ASR in the MALACH Project
    • Psutka, J. et al., "Language Model Data Selection for Czech ASR in the MALACH Project", submitted to ICASSP 2003.
    • (2003) ICASSP 2003
    • Psutka, J.1
  • 9
    • 84871614213 scopus 로고    scopus 로고
    • http://www.etca.fr/CTA/gip/Projets/Transcriber
  • 10
    • 84871611402 scopus 로고    scopus 로고
    • http://www.isip.msstate.edu/projects/switchboard/doc
  • 11
    • 0030362995 scopus 로고    scopus 로고
    • A compact model for speaker-adaptive training
    • Anastasakos, T., et al., "A compact model for speaker-adaptive training," ICSLP, 1996.
    • (1996) ICSLP
    • Anastasakos, T.1
  • 12
    • 0003454539 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • Cambridge University Engineering Department
    • Gales, M. J. F., "Maximum likelihood linear transformations for HMM-based speech recognition," Tech. Rep. CUED/F-INFENG/TR291, Cambridge University Engineering Department, 1997.
    • (1997) Tech. Rep. CUED/F-INFENG/TR291
    • Gales, M.J.F.1
  • 13
    • 0033329799 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Chen, S. F., et al., "An empirical study of smoothing techniques for language modeling", Computer Speech and Language. Vol. 13, No. 4, pp. 359-393, 1999.
    • (1999) Computer Speech and Language , vol.13 , Issue.4 , pp. 359-393
    • Chen, S.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.