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Volumn , Issue , 2012, Pages 81-86

FBK @ IWSLT 2012 - ASR track

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DECODING;

EID: 85133213819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 2
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    • Resampling Auxiliary Data for Language Model Adaptation in Machine Translation for Speech
    • Taipei,Taiwan, April
    • S. Maskey and A. Sethy, “Resampling Auxiliary Data for Language Model Adaptation in Machine Translation for Speech,” in Proc. of ICASSP, Taipei,Taiwan, April 2009, pp. 4817-4820.
    • (2009) Proc. of ICASSP , pp. 4817-4820
    • Maskey, S.1    Sethy, A.2
  • 3
    • 84878418249 scopus 로고    scopus 로고
    • Supervised and unsupervised Web-based language model domain adaptation
    • Portland, USA, September
    • G. Lecorve, J. Dines, T. Hain, and P. Motlicek, “Supervised and unsupervised Web-based language model domain adaptation,” in Proc. of INTERSPEECH, Portland, USA, September 2012.
    • (2012) Proc. of INTERSPEECH
    • Lecorve, G.1    Dines, J.2    Hain, T.3    Motlicek, P.4
  • 4
    • 77950327510 scopus 로고    scopus 로고
    • Using TF-IDF to Determine Word Relevance in Document Queries
    • New Brunswick:NJ, USA
    • J. Ramos, “Using TF-IDF to Determine Word Relevance in Document Queries,” in First International Conference on Machine Learning, New Brunswick:NJ, USA, 2003.
    • (2003) First International Conference on Machine Learning
    • Ramos, J.1
  • 5
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • M. J. F. Gales, “Maximum likelihood linear transformations for HMM-based speech recognition,” Computer Speech and Language, vol. 12, pp. 75-98, 1998.
    • (1998) Computer Speech and Language , vol.12 , pp. 75-98
    • Gales, M. J. F.1
  • 6
    • 33646759965 scopus 로고    scopus 로고
    • Using Simple Target Models for Adaptive Training
    • Philadelphia, PA, March
    • G. Stemmer, F. Brugnara, and D. Giuliani, “Using Simple Target Models for Adaptive Training,” in Proc. of ICASSP, vol. 1, Philadelphia, PA, March 2005, pp. 997-1000.
    • (2005) Proc. of ICASSP , vol.1 , pp. 997-1000
    • Stemmer, G.1    Brugnara, F.2    Giuliani, D.3
  • 7
    • 27744595137 scopus 로고    scopus 로고
    • Improved automatic speech recognition through speaker normalization
    • Jan
    • D. Giuliani, M. Gerosa, and F. Brugnara, “Improved automatic speech recognition through speaker normalization.” Computer Speech and Language, vol. 20, no. 1, pp. 107-123, Jan. 2006.
    • (2006) Computer Speech and Language , vol.20 , Issue.1 , pp. 107-123
    • Giuliani, D.1    Gerosa, M.2    Brugnara, F.3
  • 8
    • 44849106854 scopus 로고    scopus 로고
    • Experiments on Cross-System Acoustic Model Adapatation
    • Kyoto, Japan, Dec
    • D. Giuliani and F. Brugnara, “Experiments on Cross-System Acoustic Model Adapatation,” in ASRU Workshop 2007, Kyoto, Japan, Dec. 2007, pp. 117-122.
    • (2007) ASRU Workshop 2007 , pp. 117-122
    • Giuliani, D.1    Brugnara, F.2
  • 9
    • 84867209146 scopus 로고    scopus 로고
    • IRSTLM: an Open Source Toolkit for Handling Large Scale Language Models
    • Brisbane, Australia, September
    • M. Federico, N. Bertoldi, and M. Cettolo, “IRSTLM: an Open Source Toolkit for Handling Large Scale Language Models,” in Proc. of INTERSPEECH, Brisbane, Australia, September 2008, pp. 1618-1621.
    • (2008) Proc. of INTERSPEECH , pp. 1618-1621
    • Federico, M.1    Bertoldi, N.2    Cettolo, M.3
  • 10
    • 85135333041 scopus 로고
    • A word graph algorithm for large vocabulary continuous speech recognition
    • X. Aubert and H. Ney, “A word graph algorithm for large vocabulary continuous speech recognition,” in Proc. of ICSLP, 1994, pp. 1355-1358.
    • (1994) Proc. of ICSLP , pp. 1355-1358
    • Aubert, X.1    Ney, H.2
  • 11
    • 34047271391 scopus 로고    scopus 로고
    • Segmentation, classification and clustering of an italian broadcast news corpus
    • Paris, France
    • M. Cettolo, “Segmentation, classification and clustering of an italian broadcast news corpus,” in Proc. of Content-Based Multimedia Inf. Access Conf. (RIAO), Paris, France, 2000, pp. 372-381.
    • (2000) Proc. of Content-Based Multimedia Inf. Access Conf. (RIAO) , pp. 372-381
    • Cettolo, M.1
  • 12
    • 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, pp. 171-185, 1995.
    • (1995) Computer Speech and Language , vol.9 , pp. 171-185
    • Leggetter, C. J.1    Woodland, P. C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.