Survey of Automatic Dysarthric Speech Recognition

Main Article Content

Namita Kure, S. B. Dhonde


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 and deep learning 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. 

Article Details

How to Cite
Namita Kure, et al. (2023). Survey of Automatic Dysarthric Speech Recognition. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1028–1036.
Author Biography

Namita Kure, S. B. Dhonde

Namita Kure, S. B. Dhonde
1Research Scholar, AISSM IOT, Pune,

2Professor, AISSMS College of Engineering,Pune, India,