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Volumn , Issue , 2009, Pages 1495-1498

A WFST-based log-linear framework for speaking-style transformation

Author keywords

Disfluency detection; Log linear model; Speaking style transformation; Weighted finite state transducers

Indexed keywords

ABSOLUTE GAIN; AUTOMATIC SPEECH RECOGNITION; AUTOMATIC TRANSFORMATIONS; DISFLUENCIES; LOGLINEAR MODEL; NOISY CHANNEL; PROBABILISTIC FRAMEWORK; RULE BASED; SPEAKING STYLES; SPOKEN WORDS; STYLE LANGUAGES; WEIGHTED FINITE-STATE TRANSDUCERS; WORD ERROR RATE;

EID: 70450190839     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (13)
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    • Akita, Y.1    Kawahara, T.2
  • 2
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    • OpenFst: A general and efficient weighted finite-state transducer library
    • C. Allauzen, M. Riley, J. Schalkwyk, W. Skut, and M. Mohri. OpenFst: a general and efficient weighted finite-state transducer library. In Proc. CIAA '07, pages 11-23, 2007.
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    • Allauzen, C.1    Riley, M.2    Schalkwyk, J.3    Skut, W.4    Mohri, M.5
  • 3
    • 56149102222 scopus 로고    scopus 로고
    • Correction of disfluencies in spontaneous speech using a noisy-channel approach
    • Geneva, Switzerland
    • M. Honal and T. Schultz. Correction of disfluencies in spontaneous speech using a noisy-channel approach. In Proc. EuroSpeech2003, pages 2781-2784, Geneva, Switzerland, 2003.
    • (2003) Proc. EuroSpeech2003 , pp. 2781-2784
    • Honal, M.1    Schultz, T.2
  • 4
    • 0141480041 scopus 로고    scopus 로고
    • Language model adaptation using wfst-based speaking-style translation
    • T. Hori, D. Willett, and Y. Minami. Language model adaptation using wfst-based speaking-style translation. In Proc. ICASSP2003, pages 228-231, 2003.
    • (2003) Proc. ICASSP2003 , pp. 228-231
    • Hori, T.1    Willett, D.2    Minami, Y.3
  • 6
    • 34047266607 scopus 로고    scopus 로고
    • Y. Liu, E. Shriberg, A. Stolcke, D. Hillard, M. Ostendorf, and M. Harper. Enriching speech recognition with automatic detection of sentence boundaries and disfluencies. IEEE Transactions on Audio, Speech, and Language Processing, pages 1526-1540, 2006.
    • Y. Liu, E. Shriberg, A. Stolcke, D. Hillard, M. Ostendorf, and M. Harper. Enriching speech recognition with automatic detection of sentence boundaries and disfluencies. IEEE Transactions on Audio, Speech, and Language Processing, pages 1526-1540, 2006.
  • 8
    • 44949104722 scopus 로고    scopus 로고
    • A phrase-level machine translation approach for disfluency detection using weighted finite state transducers
    • S. Maskey, B. Zhou, and Y. Gao. A phrase-level machine translation approach for disfluency detection using weighted finite state transducers. In Proc. InterSpeech2006, pages 749-752, 2006.
    • (2006) Proc. InterSpeech2006 , pp. 749-752
    • Maskey, S.1    Zhou, B.2    Gao, Y.3
  • 9
    • 0348198473 scopus 로고    scopus 로고
    • Finite-state transducers in language and speech processing
    • M. Mohri. Finite-state transducers in language and speech processing. Computational Linguistics, 23(2):269-311, 1997.
    • (1997) Computational Linguistics , vol.23 , Issue.2 , pp. 269-311
    • Mohri, M.1
  • 10
    • 84944098666 scopus 로고    scopus 로고
    • Minimum error rate training in statistical machine translation
    • F. J. Och. Minimum error rate training in statistical machine translation. In Proc. ACL03, pages 160-167, 2003.
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  • 11
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    • Discriminative training and maximum entropy models for statistical machine translation
    • Morristown, NJ, USA, Association for Computational Linguistics
    • F. J. Och and H. Ney. Discriminative training and maximum entropy models for statistical machine translation. In Proc. ACL02, pages 295-302, Morristown, NJ, USA, 2002. Association for Computational Linguistics.
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    • Och, F.J.1    Ney, H.2
  • 12
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    • Improving spoken language translation by automatic disfluency removal: Evidence from conversational speech transcripts
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    • S. Rao, I. Lane, and T. Schultz. Improving spoken language translation by automatic disfluency removal: Evidence from conversational speech transcripts. In Machine Translation Summit XI, pages 177-180, Copenhagen, Denmark, September 2007.
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    • Rao, S.1    Lane, I.2    Schultz, T.3
  • 13
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    • Automatic transformation of lecture transcription into document style using statistical framework
    • K. Shitaoka, H. Nanjo, and T. Kawahara. Automatic transformation of lecture transcription into document style using statistical framework. In Proc. InterSpeech2004, pages 2169-2172, 2004.
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    • Shitaoka, K.1    Nanjo, H.2    Kawahara, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.