Training a robust Automatic Speech Recognition (ASR) system for children's speech
recognition is a challenging task due to inherent differences in acoustic attributes of adult …

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 …

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

Automatic speech recognition (ASR) researchers are working to address the differing
transcription performance of ASR by accent or dialect. However, research often has a limited …

Alzheimer's disease (AD) is a prevalent and widespread neurodegenerative disorder among
the older adult population worldwide. Among the numerous cognitive screening methods …

This paper 1 presents a novel system which utilizes acoustic, phonological,
morphosyntactic, and prosodic information for binary automatic dialect detection of African …

Data augmentation is a technique which enhances the size and quality of training data such
that deep learning or machine learning models can achieve better performance. This paper …

Our present work studies the impact of employing out-of-domain data augmentation and
front-end acoustic features concatenation on zero-resource children's automatic speech …

This paper evaluates an innovative framework for spoken dialect density prediction on
children's and adults' African American English. A speaker's dialect density is defined as the …

balaji1312@ ucla. edu; amberafshan@ ucla. edu; ajohnson49@ ucla. edu; aurosweta99@
ucla. edu; alemartin@ ucla. edu; michaelni12@ ucla. edu; haewon@ mit. edu; mquint30 …