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Volumn , Issue , 2012, Pages 91-95

The KIT-NAIST (Contrastive) English ASR System for IWSLT 2012

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS MODELS; INSTITUTES OF TECHNOLOGIES; MULTIPASS SYSTEMS; SCIENCE AND TECHNOLOGY; SEMI-CONTINUOUS; SPEECH RECOGNITION SYSTEMS; SYSTEM COMBINATION; TEST SETS;

EID: 85133179054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (23)
  • 4
    • 33646812977 scopus 로고    scopus 로고
    • Cross domain automatic transcription on the TC-STAR EPPS corpus
    • Philadelphia, USA
    • C. Gollan, M. Bisani, S. Kanthak, R. Schluter, and H. Ney, “Cross domain automatic transcription on the TC-STAR EPPS corpus,” in Proc. of ICASSP, Philadelphia, USA, 2005, pp. 825-828.
    • (2005) Proc. of ICASSP , pp. 825-828
    • Gollan, C.1    Bisani, M.2    Kanthak, S.3    Schluter, R.4    Ney, H.5
  • 5
    • 0030705337 scopus 로고    scopus 로고
    • Speaker normalization based on frequency warping
    • Munich, Germany
    • P. Zhan and M. Westphal, “Speaker normalization based on frequency warping,” in Proc. of ICASSP, Munich, Germany, 1997, pp. 1039-1042.
    • (1997) Proc. of ICASSP , pp. 1039-1042
    • Zhan, P.1    Westphal, M.2
  • 6
    • 0001174605 scopus 로고    scopus 로고
    • Iterative split-and-merge algorithm for VQ codebook generation
    • T. Kaukoranta, P. Fränti, and O. Nevalainen, “Iterative split-and-merge algorithm for VQ codebook generation,” Optical Engineering, vol. 37, no. 10, pp. 2726-2732, 1998.
    • (1998) Optical Engineering , vol.37 , Issue.10 , pp. 2726-2732
    • Kaukoranta, T.1    Fränti, P.2    Nevalainen, O.3
  • 7
    • 0032638856 scopus 로고    scopus 로고
    • Semi-tied covariance matrices for hidden markov models
    • M. Gales, “Semi-tied covariance matrices for hidden markov models,” IEEE Transactions on Speech and Audio Processing, vol. 7, no. 3, pp. 272-281, 1999.
    • (1999) IEEE Transactions on Speech and Audio Processing , vol.7 , Issue.3 , pp. 272-281
    • Gales, M.1
  • 8
    • 85009223249 scopus 로고    scopus 로고
    • Techniques for effective vocabulary selection
    • Geneva, Switzerland
    • A. Venkataraman and W. Wang, “Techniques for effective vocabulary selection,” in Proc. of EUROSPEECH, Geneva, Switzerland, 2003, pp. 245-248.
    • (2003) Proc. of EUROSPEECH , pp. 245-248
    • Venkataraman, A.1    Wang, W.2
  • 9
    • 0026187945 scopus 로고
    • The zero-frequency problem: estimating the probabilities of novelevents in adaptive text compression
    • I. Witten and T. Bell, “The zero-frequency problem: estimating the probabilities of novelevents in adaptive text compression,” IEEE Transactions on Information Theory, vol. 37, no. 4, pp. 1085-1094, 1991.
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.4 , pp. 1085-1094
    • Witten, I.1    Bell, T.2
  • 10
    • 84891308106 scopus 로고    scopus 로고
    • SRILM - an extensible language modeling toolkit
    • Denver, USA
    • A. Stolcke, “SRILM - an extensible language modeling toolkit,” in Proc. of ICSLP, Denver, USA, 2002, pp. 901-904.
    • (2002) Proc. of ICSLP , pp. 901-904
    • Stolcke, A.1
  • 11
    • 0028996876 scopus 로고
    • Improved backing-off for m-gram language modeling
    • R. Kneser and H. Ney, “Improved backing-off for m-gram language modeling,” in Proc. ICASSP, 1995, pp. 181-184.
    • (1995) Proc. ICASSP , pp. 181-184
    • Kneser, R.1    Ney, H.2
  • 13
    • 84860506258 scopus 로고    scopus 로고
    • Unsupervised language model adaptation incorporating named entity information
    • Prague, Czech Republic
    • F. Liu and Y. Liu, “Unsupervised language model adaptation incorporating named entity information,” in Proc. of ACL, Prague, Czech Republic, 2007, pp. 672-679.
    • (2007) Proc. of ACL , pp. 672-679
    • Liu, F.1    Liu, Y.2
  • 15
    • 41049105254 scopus 로고    scopus 로고
    • Joint-sequence models for grapheme-to-phoneme conversion
    • M. Bisani and H. Ney, “Joint-sequence models for grapheme-to-phoneme conversion,” Speech Communication, vol. 50, no. 5, pp. 434-451, 2008.
    • (2008) Speech Communication , vol.50 , Issue.5 , pp. 434-451
    • Bisani, M.1    Ney, H.2
  • 16
    • 70450186703 scopus 로고    scopus 로고
    • Online discriminative training for grapheme-to-phoneme conversion
    • Beijing, China
    • S. Jiampojamarn and G. Kondrak, “Online discriminative training for grapheme-to-phoneme conversion,” in Proc. INTERSPEECH, Beijing, China, 2009, pp. 1303-1306.
    • (2009) Proc. INTERSPEECH , pp. 1303-1306
    • Jiampojamarn, S.1    Kondrak, G.2
  • 18
    • 84962868641 scopus 로고    scopus 로고
    • A one-pass decoder based on polymorphic linguistic context assignment
    • Madonna di Campiglio, Italy
    • C. F. H. Soltau, F. Metze and A. Waibel, “A one-pass decoder based on polymorphic linguistic context assignment,” in Proc. of ASRU, Madonna di Campiglio, Italy, 2001.
    • (2001) Proc. of ASRU
    • Soltau, C. F. H.1    Metze, F.2    Waibel, A.3
  • 19
    • 44849122416 scopus 로고    scopus 로고
    • Cross-system adaptation and combination for continuous speech recognition: The influence of phoneme set and acoustic front-end
    • Pittsburg, PA, USA
    • S. Stüker, C. Fügen, S. Burger, and M. Wölfel, “Cross-system adaptation and combination for continuous speech recognition: The influence of phoneme set and acoustic front-end,” in Proc. of INTERSPEECH, Pittsburg, PA, USA, 2006, pp. 521-524.
    • (2006) Proc. of INTERSPEECH , pp. 521-524
    • Stüker, S.1    Fügen, C.2    Burger, S.3    Wölfel, M.4
  • 20
    • 0034296009 scopus 로고    scopus 로고
    • Finding consensus in speech recognition: Word error minimization and other applications of confusion networks
    • 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, 2000.
    • (2000) Computer Speech and Language , vol.14 , Issue.4 , pp. 373-400
    • Mangu, L.1    Brill, E.2    Stolcke, A.3
  • 21
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
    • C. J. Leggetter and P. C. Woodland, “Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models,” Computer Speech and Language, vol. 9, no. 2, pp. 171-185, 1995.
    • (1995) Computer Speech and Language , vol.9 , Issue.2 , pp. 171-185
    • Leggetter, C. J.1    Woodland, P. C.2
  • 22
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • M. Gales, “Maximum likelihood linear transformations for HMM-based speech recognition,” Computer Speech and Language, vol. 12, no. 2, pp. 75-98, 1998.
    • (1998) Computer Speech and Language , vol.12 , Issue.2 , pp. 75-98
    • Gales, M.1
  • 23
    • 0030638031 scopus 로고    scopus 로고
    • A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)
    • Santa Barbara, USA
    • J. Fiscus, “A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER),” in Proc. of ASRU, Santa Barbara, USA, 1997, pp. 347-354.
    • (1997) Proc. of ASRU , pp. 347-354
    • Fiscus, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.