Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …

Automatic recognition of disordered speech remains a highly challenging task to date.
Sources of variability commonly found in normal speech including accent, age or gender …

Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …

Dysarthric speech recognition has posed major challenges due to lack of training data and
heavy mismatch in speaker characteristics. Recent ASR systems have benefited from readily …

Automatic recognition of disordered and elderly speech remains a highly challenging task to
date due to the difficulty in collecting such data in large quantities. This paper explores a …

Dysarthric speech recognition is a challenging task as dysarthric data is limited and its
acoustics deviate significantly from normal speech. Model-based speaker adaptation is a …

Articulatory features are inherently invariant to acoustic signal distortion and have been
successfully incorporated into automatic speech recognition (ASR) systems for normal …

Automatic Speech Recognition (ASR) technologies can be life-changing for individuals who
suffer from dysarthria, a speech impairment that affects articulatory muscles and results in …

This paper addresses the problem of recognizing the speech uttered by patients with
dysarthria, which is a motor speech disorder impeding the physical production of speech …

Despite the rapid progress of automatic speech recognition (ASR) technologies in the past
few decades, recognition of disordered speech remains a highly challenging task to date …