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. 2008 Dec;21(4):371-7.
doi: 10.1007/s10278-007-9034-7.

Improving the utility of speech recognition through error detection

Kimberly Voll  1 , Stella Atkins, Bruce Forster
Affiliations

Improving the utility of speech recognition through error detection

Kimberly Voll et al. J Digit Imaging. 2008 Dec.

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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References

    1. Horii SC, Redfern R, Kundel H, et al. PACS technologies and reliability: are we making things better or worse? Proc SPIE. 2002;4685:16–24. doi: 10.1117/12.467007. - DOI
    1. Mehta A, Dreyer K, Schweitzer A, et al. Voice recognition—an emerging necessity within radiology: Experiences of the Massachusetts general hospital. J Digit Imaging. 1998;11:20–23. doi: 10.1007/BF03168173. - DOI - PMC - PubMed
    1. Al-Aynati NM, Chorneyko KA. Comparison of voice-automated transcription and human transcription in generating pathology reports. Arch Pathol Lab Med. 2003;127(6):721–725. - PubMed
    1. Ranaa DS, Hurst G, Shepstone L, et al. Voice recognition for radiology reports: is it good enough? Clin Radiol. 2005;60(11):1205–1212. doi: 10.1016/j.crad.2005.07.002. - DOI - PubMed
    1. Marion J: Radiologists’ attitudes can make or break speech recognition. Diagn Imaging Online http://www.superiorconsultant.com/Pressroom/Articles/Diagnostic%20Imagin...

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