Dysarthria is a motor speech disorder and the most common neurodegenerative disease
characterized by low volume in precise articulation, poor coordination of respiratory and …

Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …

With the recent development of speech-enabled interactive systems using artificial agents,
there has been substantial interest in the analysis and classification of voice disorders to …

Abstract Automatic Speech Recognition technology (ASR) has recently witnessed a
paradigm shift with respect to performance accuracy. Nevertheless, impaired speech …

The success of automatic speech recognition (ASR) benefits a great number of healthy
people, but not people with disorders. The speech disordered may truly need support from …

Recognising dysarthric speech is a challenging problem as it differs in many aspects from
typical speech, such as speaking rate and pronunciation. In the literature the focus so far has …

Automatic recognition of dysarthric speech is a very challenging research problem where
performances still lag far behind those achieved for typical speech. The main reason is the …

Abstract Machine learning (ML) and Deep Neural Networks (DNN) have greatly aided the
problem of Automatic Speech Recognition (ASR). However, accurate ASR for dysarthric …

Dysarthria is a manifestation of disruption in the neuromuscular physiology resulting in
uneven, slow, slurred, harsh, or quiet speech. Despite the remarkable progress of automatic …

Purpose: In this review article, we present an extensive overview of recent developments in
the area of dysarthric speech research. One of the key objectives of speech technology …