02112nam a2200253 a 4500 vtls000054770 KUKTEM 20251114204501.0 110718t2010 my a f m 000 0 eng d THE0007062(Local) 201906131028 hanafiah 201906131028 hanafiah 201107180842 ida UMP TK7882.S65 A36 2010 rs Bc. Aimi Nadia Azmi Fir filter for makhraj recognition system / Aimi Nadia Azmi Fir filter for makhraj recognition system [computer file] Kuantan, Pahang : UMP, 2010 xvi, 58 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Bibliography : p. 51-53 Audio and speech processing systems have steadily risen in importance in the everyday of most people in developed countries. Speech recognition is the process of converting an acoustic signal, captured by a microphone to a set of words. Recognition is generally more difficult when vocabularies are larger or have many similar-sounding words. There are some external parameters that can effects speech recognition system performance, including the characteristics of the environmental noise and the type and also the placement of the microphone. A particular objective of the invention is to recognize the correct makhraj pronounce for the recognition analysis using pre-processing data base Matlab. In this project, speech processing for makhraj recognition is built using Finite Impulse Response (FIR) filter. The speech that was collects all of data from respondent. It requires the simultaneously recording of the speech wave as many parameters as possible. Then, get the correct makhraj pronounce example (alif), (ba), (ta), (tsa), (jim), (ha) and others. After that, the project will built using Matlab software Speech processing systems 0 0 0 1 20000 20000 2019-09-04 0 TK7882.S65 A36 2010 rs Bc. 0000058454 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5403 | TK7882.S65 A36 2010 rs Bc. 0000058455 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2817 2823 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9992