Automatic Speech Recognition (ASR) systems are often optimized to work best for speakers
with canonical speech patterns. Unfortunately, these systems perform poorly when tested on …

Abstract Automatic Speech Recognition technology (ASR) has recently witnessed a
paradigm shift with respect to performance accuracy. Nevertheless, impaired speech …

Children with autism spectrum disorder (ASD) produce speech sounds different from that of
Normal or non-ASD children. Hence, analyzing acoustic features can help characterizing the …

In this paper, we present the results of our long-term study on use of a voice assistant
(Amazon Alexa via Amazon Echo Dot) in nine families with children and no previous …

This study investigates the performance of personalized automatic speech recognition
(ASR) for recognizing disordered speech using small amounts of per-speaker adaptation …

Physical, social, and routine environments can be challenging for learners with autism
spectrum disorder (ASD). ASD is a developmental disorder caused by neurological …

The high variability in acoustic, pronunciation, and linguistic characteristics of children's
speech makes of children's automatic speech recognition (ASR) a complex task. Training a …

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 …

The autism spectrum disorder (ASD) is a developmental disability caused by abnormalities
in the brain. Different methods have been used to diagnose ASD in the past, each with its …

Automatic speech recognition (ASR) has ensured a convenient and fast mode of
communication between humans and computers. It has become more accurate over the …