Noise in Speech-to-Text Voice: Analysis of Errors and Feasibility of Phonetic Similarity for Their Correction
In Australian healthcare, failures in information flow cause over one-tenth of preventable adverse events and are tangible in clinical handover. Regardless of a good verbal handover, anything from two-thirds to all of this information is lost after 3–5 shifts if notes are taken by hand or not taken. Speech to text (SST) and information extraction (IE) have been proposed for taking the notes and filling in a handover form with extrapolated evaluations from related studies promising over 90 per...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Workshop|
|Access Rights:||Open Access|
|01_Suominen_Noise_in_Speech-to-Text_Voice%3A_2013.pdf||1.48 MB||Adobe PDF|
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