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Ahmad Zaki, Hani Yasmin (2013) STUTTERER AID MOBILE APPLICATION. Universiti Teknologi Petronas.

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The main objective of this project is to develop a mobile application as an alternative way for stutterers to have personal practice guidance to reduce their stuttering problem besides attending speech therapy. This project will identify the appropriate methods that can treat stutterer’s stuttering problem and to evaluate the user acceptance towards the developed mobile application. This is because none of current mobile application provides function that allows stutterers and speech pathologist to know the stage of stuttering through assessment result. Moreover, devices which are specially designed to aid stuttering are expensive. This application is targeted for children’s stutterers in Malaysia and it is built for Android platform. Moreover, this application is applies effective approaches or treatments for curing stuttering problems recommended by Pathologist who are specializes in this area. From the interview session with the Pathologist in Hospital Kuala Lumpur, it is found that there are a lot of treatments or methods to help stutterers to improve their speech patterns and boost their confidence level. The methods include Metronome, Music, Mirroring, Delayed Auditory Feedback, and word repetition. This Stutterer Aid Mobile Application will implement only three methods from all methods that been recommended by the Pathologists which are Metronome, Mirroring and Delayed Auditory Feedback and a device called “Stutter Rate”. This application provides an assessment results for Pathologist reference so that pathologist can monitor their recovery. After the user testing, it can be conclude that this application is able to become another alternative ways for stutterers having personal speech exercise. Moreover, mostly users are satisfied with this application based on the user testing results.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Instrumentation and Control - Intelligent System - Predictive Model for Reformer Tube
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 28 Feb 2014 11:48
Last Modified: 25 Jan 2017 09:38
URI: http://utpedia.utp.edu.my/id/eprint/13624

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