State-of-the-art automatic speech recognition (ASR) systems perform well on healthy
speech. However, the performance on impaired speech still remains an issue. The current …

Dysarthria is a condition where people experience a reduction in speech intelligibility due to
a neuromotor disorder. Previous works in dysarthric speech recognition have focused on …

Abstract Background and Objective Most dysarthric patients encounter communication
problems due to unintelligible speech. Currently, there are many voice-driven systems …

We present an extended Parrotron model: a single, end-to-end network that enables voice
conversion and recognition simultaneously. Input spectrograms are transformed to output …

Voice control is an important way of controlling mobile devices; however, using it remains a
challenge for dysarthric patients. Currently, there are many approaches, such as automatic …

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

Dysarthria, a speech disorder often caused by neurological damage, compromises the
control of vocal muscles in patients, making their speech unclear and communication …

Navigating the challenges of data-driven speech processing, one of the primary hurdles is
accessing reliable pathological speech data. While public datasets appear to offer solutions …

Advancements in spoken language technologies for neurodegenerative speech disorders
are crucial for meeting both clinical and technological needs. This overview paper is vital for …

This paper presents a high-intelligibility speech synthesis method for persons with dysarthria
caused by athetoid cerebral palsy. The muscular control of such speakers is unstable …