Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
characterized by social communication challenges, repetitive behaviors, and restricted …

Abstract Background Human Emotion Recognition (HER) has been a popular field of study
in the past years. Despite the great progresses made so far, relatively little attention has …

Translating mental health recognition from clinical research into real-world application
requires extensive data, yet existing emotion datasets are impoverished in terms of daily …

Neural network models for audio tasks, such as automatic speech recognition (ASR) and
acoustic scene classification (ASC), are susceptible to noise contamination for real-life …

Uncertainty Quantification (UQ) is an important building block for the reliable use of neural
networks in real-world scenarios, as it can be a useful tool in identifying faulty predictions …

This paper concerns the methodology of multi-modal data acquisition in observing emotions
experienced by children with autism while they interact with a social robot. As robot …

Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …

This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for
Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD) …

The research presents an interactive toy agent leveraging a deep learning approach for
treating autistic kids by making them learn Yoga. The objective of the proposed toy is to …

A major obstacle that impacts the social and emotional well-being of people with mental
instability is cognitive impairment, especially the difficulty of having a limited capacity for …