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Expedited transcription methods (Fox et al., 2021) ...
Abstract: Purpose: This study examined the accuracy and potential clinical utility of two expedited transcription methods for narrative language samples elicited from school-age children (7;5–11;10 [years;months]) with developmental language disorder. Transcription methods included real-time transcription produced by speech-language pathologists (SLPs) and trained transcribers (TTs) as well as Google Cloud Speech automatic speech recognition. Method: The accuracy of each transcription method was evaluated against a gold-standard reference corpus. Clinical utility was examined by determining the reliability of scores calculated from the transcripts produced by each method on several language sample analysis (LSA) measures. Participants included seven certified SLPs and seven TTs. Each participant was asked to produce a set of six transcripts in real time, out of a total 42 language samples. The same 42 samples were transcribed using Google Cloud Speech. Transcription accuracy was evaluated through word error rate. ...
Keyword: 170204 Linguistic Processes incl. Speech Production and Comprehension; 200404 Laboratory Phonetics and Speech Science; FOS Languages and literature; FOS Psychology; Language
URL: https://dx.doi.org/10.23641/asha.15167355.v1
https://asha.figshare.com/articles/journal_contribution/Expedited_transcription_methods_Fox_et_al_2021_/15167355/1
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Expedited transcription methods (Fox et al., 2021) ...
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An Investigation Into the Feasibility of Streamlining Language Sample Analysis Through Computer-Automated Transcription and Scoring
In: All Graduate Theses and Dissertations (2021)
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Removing Barriers to Language Sample Analysis: Computer-Automated Microstructure Scoring (CAMS)
In: All Graduate Theses and Dissertations (2021)
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