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Volumn , Issue , 2009, Pages 76-79

Minimum hypothesis phone error as a decoding method for speech recognition

Author keywords

Confusion networks; Lattice rescoring; Minimum bayes risk (MBR); MPE; Speech recognition

Indexed keywords

DECODING METHODS; DISCRIMINATIVE TRAINING; LATTICE RESCORING; MAXIMUM A POSTERIORI; MINIMUM BAYES RISK; MINIMUM PHONE ERROR; SENTENCE ERRORS; WORD ERROR RATE;

EID: 70450191546     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 1
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    • Findng consensus in speech recognition: Word error minimization and other applications of confusion networks
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    • (2000) Computer Speech and Language , vol.14 , Issue.4 , pp. 291-294
    • Mangu, L.1    Brill, E.2    Stolcke, A.3
  • 2
  • 3
    • 0034856258 scopus 로고    scopus 로고
    • Explicit word error minimization using word hypothesis posterior probabilities
    • Salt Lake City, UT,pp
    • F. Wessel, R. Schlüter, H. Ney," Explicit word error minimization using word hypothesis posterior probabilities", in Proc. ICASSP'01, Salt Lake City, UT,pp.33-36,2001.
    • (2001) Proc. ICASSP'01 , pp. 33-36
    • Wessel, F.1    Schlüter, R.2    Ney, H.3
  • 4
    • 0036296863 scopus 로고    scopus 로고
    • Minimum phone error and I-smoothing for improved discriminative training
    • Florida, USA, pp
    • D. Povey, P. C. Woodland, "Minimum phone error and I-smoothing for improved discriminative training", in Proceedings of the ICASSP'02, Vol. 1, Florida, USA, pp. 105-108,2002.
    • (2002) Proceedings of the ICASSP'02 , vol.1 , pp. 105-108
    • Povey, D.1    Woodland, P.C.2
  • 5
    • 4544265717 scopus 로고    scopus 로고
    • Discriminative training for large vocabulary speech recognition
    • Ph.D. thesis, Cambridge University
    • D. Povey, "Discriminative training for large vocabulary speech recognition", Ph.D. thesis, Cambridge University, 2004.
    • (2004)
    • Povey, D.1
  • 6
    • 34547529083 scopus 로고    scopus 로고
    • Evaluation of proposed modifications to MPE for large scale discriminative training
    • Hawaii, USA,pp
    • D. Povey, K. Brian, "Evaluation of proposed modifications to MPE for large scale discriminative training", Proc. ICASSP'07, Vol. 4, Hawaii, USA,pp. 321-324,2007.
    • (2007) Proc. ICASSP'07 , vol.4 , pp. 321-324
    • Povey, D.1    Brian, K.2
  • 8
    • 54049099685 scopus 로고    scopus 로고
    • Towards more efficient and accurate methods for mandarin LVCSR discriminative training
    • Hannover, Germany, pp
    • H. Xu, J. Zhu, "Towards more efficient and accurate methods for mandarin LVCSR discriminative training", in Proc. ICME'08, Hannover, Germany, pp. 981-984,2008.
    • (2008) Proc. ICME'08 , pp. 981-984
    • Xu, H.1    Zhu, J.2
  • 9
    • 70449581251 scopus 로고    scopus 로고
    • An efficient multistage rover method for automatic speech recognition
    • H. Xu, J. Zhu, G. Wu, "An efficient multistage rover method for automatic speech recognition", in Proc. ICME'09, 2009.
    • (2009) Proc. ICME'09
    • Xu, H.1    Zhu, J.2    Wu, G.3
  • 10
    • 51449120120 scopus 로고    scopus 로고
    • Boosted MMI for model and feature-space discriminative training
    • D. Povey, D. Kanevsky, et al., "Boosted MMI for model and feature-space discriminative training", Proc. ICASSP'08, pp. 4057-4060, 2008.
    • (2008) Proc. ICASSP'08 , pp. 4057-4060
    • Povey, D.1    Kanevsky, D.2
  • 11
    • 0030719155 scopus 로고    scopus 로고
    • A word graph algorithm for large vocabulary continuous speech recognition
    • S. Ortmanns, H. Ney, "A word graph algorithm for large vocabulary continuous speech recognition", Computer Speech and Language 11 (1), 43-72, 1997.
    • (1997) Computer Speech and Language , vol.11 , Issue.1 , pp. 43-72
    • Ortmanns, S.1    Ney, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.