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Volumn 1, Issue , 2007, Pages 673-676

The ISL 2007 English Speech Transcription system for European Parliament speeches

Author keywords

Epps; Speech recognition; System description; TC STAR

Indexed keywords

SPEECH RECOGNITION; SPEECH TRANSMISSION; TRANSCRIPTION;

EID: 56149118750     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (17)
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    • S. Stüker, C. Fügen, S. Burger, and M. Wölfel, "Crosssystem adaptation and combination for continuous speech recognition: The influence of phoneme set and acoustic front-end," in Ninth International Conference on Spoken Language Processing, Pittsburgh, PA, USA, September 2007.
    • (2007) Ninth International Conference on Spoken Language Processing
    • Stüker, S.1    Fügen, C.2    Burger, S.3    Wölfel, M.4
  • 2
    • 0034296009 scopus 로고    scopus 로고
    • Finding Consensus in Speech Recognition: Word Error Minimization and Other Applications of Confusion Networks
    • October
    • L. Mangu, E. Brill, and A. Stolcke, "Finding Consensus in Speech Recognition: Word Error Minimization and Other Applications of Confusion Networks," Computer Speech and Language, vol. 14, no. 4, pp. 373-400, October 2000.
    • (2000) Computer Speech and Language , vol.14 , Issue.4 , pp. 373-400
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  • 4
    • 84962868641 scopus 로고    scopus 로고
    • A one pass-decoder based on polymorphic linguistic context assignment
    • Madonna di Campiglio Trento, Italy, December
    • H. Soltau, F. Metze, C. Fügen, and A. Waibel, "A one pass-decoder based on polymorphic linguistic context assignment," in ASRU, Madonna di Campiglio Trento, Italy, December 2001.
    • (2001) ASRU
    • Soltau, H.1    Metze, F.2    Fügen, C.3    Waibel, A.4
  • 5
    • 85032772258 scopus 로고    scopus 로고
    • Minimum variance distortionless response spectralestimation, review and refinements
    • September
    • M. Wölfel and J. McDonough, "Minimum variance distortionless response spectralestimation, review and refinements," IEEE Signal Processing Magazine, vol. 22, no. 5, pp. 117-126, September 2005.
    • (2005) IEEE Signal Processing Magazine , vol.22 , Issue.5 , pp. 117-126
    • Wölfel, M.1    McDonough, J.2
  • 6
    • 0030705337 scopus 로고    scopus 로고
    • Speaker normalization based on frequency warping
    • Munich, Germany, April
    • P. Zhan and M. Westphal, "Speaker normalization based on frequency warping," in ICASSP, Munich, Germany, April 1997.
    • (1997) ICASSP
    • Zhan, P.1    Westphal, M.2
  • 11
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    • Improved discriminative training techniques for large vocabulary continuous speech recognition
    • Salt Lake City, UT, USA, May
    • D. Povey and P. Woodland, "Improved discriminative training techniques for large vocabulary continuous speech recognition," in International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, UT, USA, May 2001.
    • (2001) International Conference on Acoustics, Speech, and Signal Processing
    • Povey, D.1    Woodland, P.2
  • 13
    • 44949090835 scopus 로고    scopus 로고
    • Getting more mileage from web text sources for conversational speech language modeling using class-dependent mixtures
    • Edmonton, Canada, May
    • M. O. I. Bulyko and A. Stolcke, "Getting more mileage from web text sources for conversational speech language modeling using class-dependent mixtures," in HLT-NAACL, Edmonton, Canada, May 2003.
    • (2003) HLT-NAACL
    • Bulyko, M.O.I.1    Stolcke, A.2
  • 16
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    • A. Black and P. Taylor, The festival speech synthesis system: System docmunation, Human Communication Research Centre, University of Edingburgh, Edingburgh, Scotland, United Kingdom, Tech. Rep., 1997.
    • A. Black and P. Taylor, "The festival speech synthesis system: System docmunation," Human Communication Research Centre, University of Edingburgh, Edingburgh, Scotland, United Kingdom, Tech. Rep., 1997.
  • 17
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    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
    • C. Leggetter and P. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models," Computer Speech and Language, vol. 9, pp. 171-185, 1995.
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    • Leggetter, C.1    Woodland, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.