02086nam a2200253 a 4500 vtls000054725 KUKTEM 20251114204450.0 110713t2010 my a f m 000 0 eng d THE0008086(Local) 201906191135 amy2 201107140059 VLOAD 201107130919 ida UMP TK7882.S65 N87 2010 rs Bc. Siti Nurmaisarah Abdul Aziz Speech processing for makhraj recognition (design adaptive filter for noise removal) / Siti Nurmaisarah Abdul Aziz Speech processing for makhraj recognition (design adaptive filter for noise removal) [computer file] Kuantan, Pahang : UMP, 2010 xv, 55 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Bibliography : p. 49-51 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 Speech processing systems 0 0 0 1 20000 20000 2019-09-04 0 TK7882.S65 N87 2010 rs Bc. 0000058490 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5421 | TK7882.S65 N87 2010 rs Bc. 0000058491 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2500 2506 VTLSSORT0010*0030*0050*0080*0200*0390*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9990*9992