000			02086nam a2200253 a 4500
001			vtls000054725
003			KUKTEM
005			20251114204450.0
008			110713t2010 my a f m 000 0 eng d
020			_aTHE0008086(Local)
039		9	_a201906191135 _bamy2 _c201107140059 _dVLOAD _y201107130919 _zida
040			_aUMP
090			_aTK7882.S65 N87 2010 rs Bc.
100	0		_aSiti Nurmaisarah Abdul Aziz
245	1	0	_aSpeech processing for makhraj recognition (design adaptive filter for noise removal) / _cSiti Nurmaisarah Abdul Aziz
246	3		_aSpeech processing for makhraj recognition (design adaptive filter for noise removal) _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2010
300			_axv, 55 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504			_aBibliography : p. 49-51
520	3		_aSpeech 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
650		0	_aSpeech processing systems
999			_aVIRTUA40 _c2500 _d2506
999			_aVTLSSORT0010*0030*0050*0080*0200*0390*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9990*9992