Recent Advances in Dysarthric Speech Recognition: Approaches and Datasets

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Tahani Alrajhi
Mourad Ykhlef
Ahmed Alsanad

Abstract

Dysarthria is a neuromotor speech disorder that results from physical disability and limits speech intelligibility. Dysarthric speakers can make use of speech recognition systems to help them communicate more effectively with others. This paper surveys the latest works conducted on dysarthric speech recognition that was carried out in a span of five years, specifically from 2018 until 2023. These works are categorized according to the approach that was followed to improve dysarthric speech recognition. The approaches include data augmentation, enhancement of dysarthric speech, speech and acoustic features, adaptation, and hybridization of multiple approaches.

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How to Cite
Alrajhi, T., Ykhlef, M., & Alsanad, A. (2024). Recent Advances in Dysarthric Speech Recognition: Approaches and Datasets. Journal of King Abdulaziz University: Computing and Information Technology Sciences, 13(2). https://doi.org/10.4197/Comp.13-2.3
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Articles
Author Biographies

Tahani Alrajhi, Department of Information Science, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Tahani Alrajhi is a lecturer in the Department of Information Science at Imam Abdulrahman Bin Faisal University in Dammam, Saudi Arabia. She is currently a PhD candidate at King Saud University, Riyadh, Saudi Arabia.

Mourad Ykhlef, Department of Information Systems, King Saud University, Riyadh, Saudi Arabia

Mourad Ykhlef is a full professor in the Department of Information Systems at King Saud University, Riyadh, Saudi Arabia.

Ahmed Alsanad, Department of Information Systems, King Saud University, Riyadh, Saudi Arabia

Ahmed Alsanad is a full professor in the Department of Information Systems at King Saud University, Riyadh, Saudi Arabia.