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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Manik Yadav, Dinkar
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Computer Science & IT

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A comprehensive survey of automatic dysarthric speech recognition Yadav, Shailaja; Manik Yadav, Dinkar; Ravindra Desai, Kamalakar
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 12, No 3: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v12i3.pp242-250

Abstract

The need for automated speech recognition has expanded as a result of significant industrial expansion for a variety of automation and human-machine interface applications. The speech impairment brought on by communication disorders, neurogenic speech disorders, or psychological speech disorders limits the performance of different artificial intelligence-based systems. The dysarthric condition is a neurogenic speech disease that restricts the capacity of the human voice to articulate. This article presents a comprehensive survey of the recent advances in the automatic dysarthric speech recognition (DSR) using machine learning (ML) and deep learning (DL) paradigms. It focuses on the methodology, database, evaluation metrics, and major findings from the study of previous approaches. From the literature survey it provides the gaps between exiting work and previous work on DSR and provides the future direction for improvement of DSR. The performance of the various machine and DL schemes is evaluated for the DSR on UASpeech dataset based on accuracy, precision, recall, and F1-score. It is observed that the DL based DSR schems outperforms the ML based DSR schemes.
Co-Authors Ravindra Desai, Kamalakar Yadav, Shailaja