Deep learning applications in telerehabilitation speech therapy scenarios
Nowadays, many application scenarios benefit from automatic speech recognition (ASR)
technology. Within the field of speech therapy, in some cases ASR is exploited in the …
technology. Within the field of speech therapy, in some cases ASR is exploited in the …
Machine learning assistive application for users with speech disorders
This paper investigates machine learning approaches toward the development of a speaker
dependent keywords spotting system intended for users with speech disorders, in particular …
dependent keywords spotting system intended for users with speech disorders, in particular …
Predicting developmental language disorders using artificial intelligence and a speech data analysis tool
ABSTRACT Developmental Language Disorder (DLD) affects children's comprehension and
production of spoken language without any known biomedical condition. The importance of …
production of spoken language without any known biomedical condition. The importance of …
Toward a lightweight ASR solution for atypical speech on the edge
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 …
recognition (ASR) systems working on disordered speech, we focus on an isolated word …
Automatic Speech and Voice Disorder Detection using Deep Learning-A Systematic Literature Review
Speech and voice disorders are highly prevalent and a significant concern, particularly
among children. These disorders have a notable impact on individual's personalities …
among children. These disorders have a notable impact on individual's personalities …
IDEA: an Italian dysarthric speech database
This paper describes IDEA a database of Italian dysarthric speech produced by 45 speakers
affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' …
affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' …
Exploring ai-based speaker dependent methods in dysarthric speech recognition
In this paper, we present our recent improvements within the CapisciAMe project, an Italian
initiative aimed at investigating the usage of deep learning strategies for automatic speech …
initiative aimed at investigating the usage of deep learning strategies for automatic speech …
Comparison of noise reduction techniques for dysarthric speech recognition
The paper investigates the impact of denoising techniques on a deep learning recognition
system for speak-ers with dysarthria, ie, a neuromotor speech disorder which compromises …
system for speak-ers with dysarthria, ie, a neuromotor speech disorder which compromises …
Sequence-to-Sequence Models in Italian Atypical Speech Recognition
In the domain of automatic speech recognition (ASR), we explore the usage of a state-of-the-
art transformer-based sequence-to-sequence model to build a speaker-dependent isolated …
art transformer-based sequence-to-sequence model to build a speaker-dependent isolated …
Device control system based on classified EMG signals: a machine learning approach
AC Barbosa - 2024 - search.proquest.com
In contemporary society, certain physical attributes are celebrated, while others are
stigmatized, leading to barriers in the social inclusion of individuals who do not conform to …
stigmatized, leading to barriers in the social inclusion of individuals who do not conform to …