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Volumn 73, Issue 9-10, 2004, Pages 719-730

A simple error classification system for understanding sources of error in automatic speech recognition and human transcription

Author keywords

Documentation; Electronic medical records; Error rates; Information systems; Medical errors; Medical notes; Speech recognition; Transcription

Indexed keywords

ERROR DETECTION; SPEECH RECOGNITION;

EID: 4344569119     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2004.05.008     Document Type: Article
Times cited : (19)

References (18)
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    • Mohr, D.N.1    Turner, D.W.2    Pond, G.R.3    Kamath, J.S.4    De Vos, C.B.5    Carpenter, P.C.6
  • 13
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    • PhD Thesis, CMU Also see the CMU Error Analysis Toolkit (http://www-2.cs.cmu.edu/afs/cs/user/lindaq/ERA/) and the CMU Statistical Language Modeling Toolkit (http://www.speech.cs.cmu.edu/SLM_info.html).
    • L. Chase, "Error Responsive Feedback Mechanisms for Speech Recognizers", PhD Thesis, CMU 1997, (http://www.ri.cmu.edu/pubs/pub_444. html). Also see the CMU Error Analysis Toolkit (http://www-2.cs.cmu.edu/afs/cs/ user/lindaq/ERA/) and the CMU Statistical Language Modeling Toolkit (http://www.speech.cs.cmu.edu/SLM_info.html).
    • (1997) Error Responsive Feedback Mechanisms for Speech Recognizers
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.