Siti Nurmaisarah Abdul Aziz creator text theses my Kuantan, Pahang UMP 2010 monographic eng

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xv, 55 p. : ill. (some col.) ; 30 cm. + 1 computer disc Speech Processing for MAKHRAJ Recognition is a topic that very useful in many applications and environments in our daily day to improve MAKHRAJ for Arabic alphabets. In this project, it needs to design Adaptive Filter for noise removal. There are 30 Arabic, أ until ي but for this project, only 7 Arabic will be used as samples, أ until خ. The speech processing will be used to obtain same waveform output from two different situations, road and cafeteria. Least Mean Square (LMS) Algorithm based on Adaptive Filter technique is used to remove noise. Filter Design Toolbox provides many adaptive filter design functions that use the LMS algorithms to search for the optimal solution to adaptive filter, including system identification and noise cancellation. The filtered data will be processed to match the standard pronunciations and it will be integrated with filter design process in MATLAB. As a result, the noise will be removing and produce same waveform signal specialized Siti Nurmaisarah Abdul Aziz Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Bibliography : p. 49-51 Speech processing systems THE0008086(Local) UMP 110713 20251114204450.0 vtls000054725