The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …

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 …

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 …

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

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 …

Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

Audio classification is a challenging task that requires categorizing audio data based on its
content or characteristics. Existing approaches for audio classification rely either on …

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

In this article, to the purpose of simplifying challenges in designing automatic speech
recognition (ASR) systems working on disordered speech, we focus on an isolated word …

This paper focuses on the research of sound source detection technology. Combining the
artificial intelligence (AI) and 6th generation (6G) communications, it is a hot topic to build a …