Leveraging natural language processing models to automate speech-intelligibility scoring
Author:
Affiliation:
1. Baycrest Academy for Research and Education, Rotman Research Institute, North York, Canada
2. Department of Psychology, University of Toronto, Toronto, Canada
Funder
Canada Research Chairs
Natural Sciences and Engineering Research Council of Canada
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/2050571X.2024.2374160
Reference82 articles.
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2. The clear speech intelligibility benefit for text-to-speech voices: Effects of speaking style and visual guise;Aoki N. B.;JASA Express Letters,2022
3. The effects of hearing loss and noise masking on the masking release for speech in temporally complex backgrounds;Bacon S. P.;Journal of Speech, Language, and Hearing Research,1998
4. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini Y.;Journal of the Royal Statistical Society Series B: Statistical Methodology,1995
5. Bilger, R. C. (1984). Manual for the clinical use of the revised SPIN test. Champaign, IL, USA: The University of Illinois.
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