Message Texting Using Text-To-Speech (Helping Texting Machine)

 




 

Wan, Wei Jing (2016) Message Texting Using Text-To-Speech (Helping Texting Machine). Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Abstract Our project is all about developing the helping texting machine application (message texting using text-to-speech) for the purpose to helping someone reading the received message. Text-to-speech is a typing of technique has been uses long time ago. Nowadays, the techniques become mature and mature. Therefore, we will develop this technique on our mobile application and add some function to become useful for the user. Purpose: The helping texting machine application will benefit those people who are suffering in the blindness or not free at that time. The helping texting machine not only provides the texting function. It also provides some sub-function as like as reading the copy text content. The application can save the time for read the message or text content. It is very convenient for those users doing some and cannot leave the line of sight, then only focus on what they do and the application will read text content for them. Background Information: Text-to-speech technique is very popular to use it on different platform as window platform, webpage platform and mobile platform. For this project, we are developing the text-to-speech technique in android platform. Before that, we need to study how to work with it and how it work. Therefore, we can easy to apply it on our project. Scope: Our project is separate by 5 modules in the system which is Text-to-speech Module, Adaptive Text-to-speech Module, notification modules and part of Texting Service Module, speech-to-text module, adaptive text-to-speech module. I handle that text-to-speech module, notification modules and adaptive text-to-speech module. Methodology: In software development model, we have chosen the Incremental Model to develop the game. It is chosen because we believed that we can make the application become better and better with better version. The method we chose to gather system requirement are questionnaires, literature review and fact recording. Test Criteria used: For the software testing technique, we are selecting to use unit testing and system testing to qualify ours software. We need to ensure our project is quality and fix any detected bugs before we deliver it to user. Results and Conclusion: In ours project, we are achieve the objective but still have some limitation. It might provide another version in the future. The helping texting machines can successful to help those users read the message or text content when they use it.

Item Type: Final Year Project
Subjects: Science > Computer Science
Faculties: Faculty of Applied Sciences and Computing > Bachelor of Computer Science (Honours) in Software Engineering
Depositing User: Library Staff
Date Deposited: 08 Aug 2019 06:24
Last Modified: 05 Apr 2022 01:51
URI: https://eprints.tarc.edu.my/id/eprint/4567