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Journal of Imaging Informatics in Medicine

Erschienen in:

01.12.2008

Improving the Utility of Speech Recognition Through Error Detection

verfasst von: Kimberly Voll, Ph. D., Stella Atkins, Ph. D., Bruce Forster, M. D.,

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 4/2008

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Abstract

Despite the potential to dominate radiology reporting, current speech recognition technology is thus far a weak and inconsistent alternative to traditional human transcription. This is attributable to poor accuracy rates, in spite of vendor claims, and the wasted resources that go into correcting erroneous reports. A solution to this problem is post-speech-recognition error detection that will assist the radiologist in proofreading more efficiently. In this paper, we present a statistical method for error detection that can be applied after transcription. The results are encouraging, showing an error detection rate as high as 96% in some cases.

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Titel: Improving the Utility of Speech Recognition Through Error Detection
verfasst von: Kimberly Voll, Ph. D.
Stella Atkins, Ph. D.
Bruce Forster, M. D.,
Publikationsdatum: 01.12.2008
Verlag: Springer-Verlag
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 4/2008
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-007-9034-7

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Improving the Utility of Speech Recognition Through Error Detection

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