Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder

With technological advancement, the integration of digital technology into education has become possible. Nowadays, parents are more open to adopting and using technology like software applications ("apps") to enrich teaching and learning processes for the benefit of their children. Based...

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Main Author:	Marlyn Maseri
Format:	Thesis
Language:	English English
Published:	2023
Subjects:	LC4001-4806.5 Children and youth with disabilities Learning disabled children and youth
Online Access:	https://eprints.ums.edu.my/id/eprint/40555/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40555/2/FULLTEXT.pdf
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id	my-ums-ep.40555
record_format	uketd_dc
spelling	my-ums-ep.405552024-09-27T00:36:48Z Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder 2023 Marlyn Maseri LC4001-4806.5 Children and youth with disabilities. Learning disabled children and youth With technological advancement, the integration of digital technology into education has become possible. Nowadays, parents are more open to adopting and using technology like software applications ("apps") to enrich teaching and learning processes for the benefit of their children. Based on research, there is an increase in the use of apps in early education. Apps are also being utilized as intervention tools for children with Autism Spectrum Disorder (ASD). Most apps are solely to serve as education resources rather than a virtual therapy system, lacking the evidence-based standard teaching: the Applied Behavioural Analysis (ABA). Hence, this research aims to develop a Virtual Speech Therapy System (VSTS), incorporating the ABA strategy, particularly Discrete Trial Training (DTT), for children with ASD. Two key objectives were set for the VSTS to be realized: (1) To transform and implement the conventional DTT into a software application, and (2) To develop a speech recognizer implementing the Mel-frequency Cepstrum Coefficients (MFCC) and Hidden Markov Model (HMM). In achieving the first objective, the practicality of the coding method and design of the DTT-based lesson module is assessed and investigated. Next, a speech recognizer is developed, trained, and tested using 2904 speech samples. The speech recognizer is developed using the Hidden Markov Model (HMM) that utilizes 39 Mel Frequency Cepstral Coefficient (MFCC) features. The speech recognizer achieves 95.2% and 95.0% training and testing accuracies for English speeches, respectively. For Malay speeches, the recognition performance is 94.38% for training and 93.75% for testing, respectively. This research contributes to developing a speech intervention application that employs the ABA technique, namely the DTT. This intervention application is not intended to replace therapists but to enhance learning outcomes. 2023 Thesis https://eprints.ums.edu.my/id/eprint/40555/ https://eprints.ums.edu.my/id/eprint/40555/1/24%20PAGES.pdf text en public https://eprints.ums.edu.my/id/eprint/40555/2/FULLTEXT.pdf text en validuser masters Universiti Malaysia Sabah Faculty of Engineering
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English English
topic	LC4001-4806.5 Children and youth with disabilities Learning disabled children and youth
spellingShingle	LC4001-4806.5 Children and youth with disabilities Learning disabled children and youth Marlyn Maseri Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
description	With technological advancement, the integration of digital technology into education has become possible. Nowadays, parents are more open to adopting and using technology like software applications ("apps") to enrich teaching and learning processes for the benefit of their children. Based on research, there is an increase in the use of apps in early education. Apps are also being utilized as intervention tools for children with Autism Spectrum Disorder (ASD). Most apps are solely to serve as education resources rather than a virtual therapy system, lacking the evidence-based standard teaching: the Applied Behavioural Analysis (ABA). Hence, this research aims to develop a Virtual Speech Therapy System (VSTS), incorporating the ABA strategy, particularly Discrete Trial Training (DTT), for children with ASD. Two key objectives were set for the VSTS to be realized: (1) To transform and implement the conventional DTT into a software application, and (2) To develop a speech recognizer implementing the Mel-frequency Cepstrum Coefficients (MFCC) and Hidden Markov Model (HMM). In achieving the first objective, the practicality of the coding method and design of the DTT-based lesson module is assessed and investigated. Next, a speech recognizer is developed, trained, and tested using 2904 speech samples. The speech recognizer is developed using the Hidden Markov Model (HMM) that utilizes 39 Mel Frequency Cepstral Coefficient (MFCC) features. The speech recognizer achieves 95.2% and 95.0% training and testing accuracies for English speeches, respectively. For Malay speeches, the recognition performance is 94.38% for training and 93.75% for testing, respectively. This research contributes to developing a speech intervention application that employs the ABA technique, namely the DTT. This intervention application is not intended to replace therapists but to enhance learning outcomes.
format	Thesis
qualification_level	Master's degree
author	Marlyn Maseri
author_facet	Marlyn Maseri
author_sort	Marlyn Maseri
title	Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
title_short	Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
title_full	Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
title_fullStr	Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
title_full_unstemmed	Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder
title_sort	virtual speech therapy system: speech intervention application for children with autism spectrum disorder
granting_institution	Universiti Malaysia Sabah
granting_department	Faculty of Engineering
publishDate	2023
url	https://eprints.ums.edu.my/id/eprint/40555/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40555/2/FULLTEXT.pdf
_version_	1811770529839841280

Virtual speech therapy system: Speech intervention application for children with autism spectrum disorder

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