Real-Time Arabic Speech Recognition
Zaid Y. Mohammed, Abdul Sattar M. Khidhir · International Journal of Computer Applications · 2013
Speech recognition system needs to perform a high complex calculation and short time to complete it.This is a big challenge for the real-time systems.However, using a simple and fast algorithm may do this task for the slow systems.Thus, the main objective of this paper is to design and implement a Real-Time Arabic Speech Recognition system using MATLAB environment.It is capable of accurately identifying some letters while remaining simple and fast.It uses the Mel-Frequency Cepstral Coefficients (MFCCs) as a feature extraction and Euclidean distance to compare the test sound and the database.A recognition rate of 89.6% has been reached.