Applying Speech Recognition System In Learning Basic Arabic Language

Afifah Maheran, Abdul Hamid and Syafeeza , Ahmad Radzi and Noor Mazlina , Mahmod and Yan Chiew , Wong (2011) Applying Speech Recognition System In Learning Basic Arabic Language. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Applying Speech Recognition System In Learning Basic Arabic Language002 - Copy.pdf - Submitted Version Restricted to Registered users only Download (4MB)

Abstract

Even though there are many learning equipments in the market to learn different languages, there is still lack of correct pronunciation of the language learned.Advances in speech technology and computing power have created a surge of interest in the practical application of speech recognition in learning different languages. By applying speech recognition system, the basic Arabic language pronunciation can be learned in a more effective way. Speech recognition Application Programming Interface (SAPI) will be used to enable the speech processing to compare between the user's voice and pre-recorded voice. Results obtained will enable user to revise their Arabic pronunciations. If the accuracy is equal or greater than 80%, the system will assume that the pronunciation 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. This is a user-friendly system in which it will give feedback to user when user's pronunciation is incorrect.The speech recognition application is developed using Visual Basic.Net software, Praat and Microsoft Speech SAPI software. The main objective of this project is to increase the ability of user's to pronounce the correct basic of Arabic language.

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