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Volumn , Issue , 2002, Pages 188-195

A Method for Open-Vocabulary Speech-Driven Text Retrieval

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85146427900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (17)
  • 4
    • 77956807318 scopus 로고    scopus 로고
    • Speech-driven text retrieval: Using target IR collections for statistical language model adaptation in speech recognition
    • Anni R. Coden, Eric W. Brown, and Savitha Srinivasan, editors, pages Springer
    • Atsushi Fujii, Katunobu Itou, and Tetsuya Ishikawa. 2002. Speech-driven text retrieval: Using target IR collections for statistical language model adaptation in speech recognition. In Anni R. Coden, Eric W. Brown, and Savitha Srinivasan, editors, Information Retrieval Techniques for Speech Applications (LNCS 2273), pages 94–104. Springer.
    • (2002) Information Retrieval Techniques for Speech Applications (LNCS 2273) , pp. 94-104
    • Fujii, Atsushi1    Itou, Katunobu2    Ishikawa, Tetsuya3
  • 15
    • 0039670390 scopus 로고
    • Multi-lingual assessment of speaker independent large vocabulary speech-recognition systems: The SQALE-project
    • Herman J. M. Steeneken and David A. van Leeuwen. 1995. Multi-lingual assessment of speaker independent large vocabulary speech-recognition systems: The SQALE-project. In Proceedings of Eurospeech95, pages 1271–1274.
    • (1995) Proceedings of Eurospeech95 , pp. 1271-1274
    • Steeneken, Herman J. M.1    van Leeuwen, David A.2
  • 17
    • 0030244826 scopus 로고    scopus 로고
    • A review of large-vocabulary continuous-speech recognition
    • September
    • Steve Young. 1996. A review of large-vocabulary continuous-speech recognition. IEEE Signal Processing Magazine, pages 45–57, September.
    • (1996) IEEE Signal Processing Magazine , pp. 45-57
    • Young, Steve1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.