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Applying Speech Recognition Technology In Learning Basic Mandarin Language

Chuan , Wen Sheng (2009) Applying Speech Recognition Technology In Learning Basic Mandarin Language. Project Report. UTeM, Melaka,Malaysia. (Submitted)

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Abstract

The purpose of this project is to build a learning system of Mandarin Educational in an easier and effective way with using the speech recognition. This system is developed to attract users especially children to learn Mandarin language. This application is targeted to children in age between 6 to 10 years old. Even though there are many learning equipments in the market to learn different languages, there is still lack of correct pronounciation of the language learned. By applying speech recognition system, the basic Mandarin language pronounciation can be learned in a more effective way. The Microsoft Visual Studio software is used to write the program coding and the Speex software is used for compressing audio data into a smaller format designed for speech. The Praat software is used to compare the parameter and pitching of the system between user reading and system reading. Then, the user will follow the reading according to the playback recorded by the system and lastly the system will detect and find the comparison between the system's reading and user's reading. If the accuracy is equal or greater than 80%, the system will assume that the pronounciation is correct. If the accuracy is less than 80%, the user will be asked to pronounce the word again till the user gets it right. Speech recognition is one of the best way to attract user especially children to learn the right Mandarin pronounciation. Besides that, it also can improve a person's coummunication skills.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Automatic speech recognition, Speech processing systems, Mandarin dialects
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Mohd Syahrizal Mohd Razali
Date Deposited: 10 Aug 2012 07:27
Last Modified: 28 May 2015 03:33
URI: http://digitalcollection.utem.edu.my/id/eprint/5298

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