Despite significant advancements in automatic speech recognition (ASR) technology, even
the best performing ASR systems are inadequate for speakers with impaired speech. This …

In recent years, rapid advancements have taken place for automatic speech recognition
(ASR) systems and devices. Though ASR technologies have increased, the accessibility of …

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 …

Self-supervised learning (SSL) based speech foundation models have been applied to a
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …

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

Assessing the intelligibility of dysarthric speech, characterized by intricate speaking rhythms
presents formidable challenges. Current techniques for objectively testing speech …

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

Data augmentation is an essential component in building a dysarthric speech recognition
system, as speech data collection from dysarthric speakers with varying degree of disorder …

A key challenge in dysarthric speech recognition is the speaker-level diversity attributed to
both speaker-identity associated factors such as gender, and speech impairment severity …

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 …