Improving the Utility of Speech Recognition Through Error Detection
- 27 March 2007
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Digital Imaging
- Vol. 21 (4), 371-377
- https://doi.org/10.1007/s10278-007-9034-7
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.Keywords
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