Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech
signals into text. Over the last few decades, an enormous amount of research work has been …

Speaking is a fundamental way of communication, developed at a young age. Unfortunately,
some children with speech sound disorder struggle to acquire this skill, hindering their ability …

Abstract Automatic Speech Recognition (ASR) system for children is as important as for
adults since children are more dependent on these systems nowadays, such as computer …

Automatic speech recognition (ASR) systems are known to be sensitive to the sociolinguistic
variability of speech data, in which gender plays a crucial role. This can result in disparities …

Automatic Speech Recognition (ASR) systems are known to exhibit difficulties when
transcribing children's speech. This can mainly be attributed to the absence of large …

In low resource children automatic speech recognition (ASR) the performance is degraded
due to limited acoustic and speaker variability available in small datasets. In this paper, we …

The accuracy of modern automatic speaker verification (ASV) systems, when trained
exclusively on adult data, drops substantially when applied to children's speech. The …

Children's Speech Recognition (CSR) is a challenging task due to the high variability in
children's speech patterns and limited amount of available annotated children's speech …

K-12 school classrooms have proven to be a challenging environment for Automatic Speech
Recognition (ASR) systems, both due to background noise and conversation, and …

This work proposes an efficient cepstral-frequency domain based acoustic feature as a
speaker identification solution for reliable biometric access control system. The …