ArticleThe Journal of the Acoustical Society of America2016
The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance.
Article in The Journal of the Acoustical Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 44 citations in OpenAlex.
- Enhancing dysarthric speech recognition through SepFormer and hierarchical attention network models with multistage transfer learning.Scientific reports · 2024Article
- Automatic Speech Recognition in Primary Progressive Apraxia of Speech.Journal of speech, language, and hearing research : JSLHR · 2024Article
- An automatic measure for speech intelligibility in dysarthrias-validation across multiple languages and neurological disorders.Frontiers in digital health · 2024Article
- Oromotor Nonverbal Performance and Speech Motor Control: Theory and Review of Empirical Evidence.Brain sciences · 2023Review
- Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study.Journal of medical Internet research · 2022Article
- Validity of Off-the-Shelf Automatic Speech Recognition for Assessing Speech Intelligibility and Speech Severity in Speakers With Amyotrophic Lateral Sclerosis.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial from the Clinical Perspective.Frontiers in computer science · 2022Article
- Automatic Speech Recognition in Noise for Parkinson's Disease: A Pilot Study.Frontiers in artificial intelligence · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
State-of-the-art automatic speech recognition (ASR) engines perform well on healthy speech; however recent studies show that their performance on dysarthric speech is highly variable. This is because of the acoustic variability associated with the different dysarthria subtypes. This paper aims to develop a better understanding of how perceptual disturbances in dysarthric speech relate to ASR performance. Accurate ratings of a representative set of 32 dysarthric speakers along different perceptual dimensions are obtained and the performance of a representative ASR algorithm on the same set of speakers is analyzed. This work explores the relationship between these ratings and ASR performance and reveals that ASR performance can be predicted from perceptual disturbances in dysarthric speech with articulatory precision contributing the most to the prediction followed by prosody.
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