Kwan , Swee Yee (2010) Star LRT Guideline Using Speech Recognition. Project Report. UTeM, Melaka,Malaysia. (Submitted)
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Abstract
This project is focused on the technology of speech recognition and method to integrate the application with speech recognition software. Currently there are many websites provide the service of searching of location on map. However, it is lack of interactivity and inconvenient for user to search the specific location through the map. Thus, this project aimed to provide more interactive and convenient way for location searching. This project was developed using the System Development Life Cycle (SDLC) methodology which consists of planning, analysis, design, implementation and maintenance. Besides, hardware and software such as microphone, speaker, mouse, keyboard, workstation, Microsoft Speech Recognition, Microsoft SDK 5.1, Adobe Audition 1.5, Microsoft Visual Studio 2005, Microsoft Access 2007 and Adobe Photoshop CS3 have been chosen to develop the whole application. Furthermore, designs of the application such as architecture design, preliminary design and user interface design have also being sketched in chapter four. Next, the method of implementing and installing the application are being discussed in chapter five. In chapter six, target user for testing such as officer has been chosen in perfonning the test on application and it is found 80010 of the users successfully control the application using speech. Lastly, the observation on strength and weakness of project and it proposition of improvement bas been discussed in chapter seven as well as the contribution and overall conclusion of the project.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Automatic speech recognition, Speech processing systems |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FTMK |
Depositing User: | Mohd Syahrizal Mohd Razali |
Date Deposited: | 29 Aug 2012 00:33 |
Last Modified: | 28 May 2015 03:35 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/5528 |
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