000 02112nam a2200253 a 4500
001 vtls000054770
003 KUKTEM
005 20251114204501.0
008 110718t2010 my a f m 000 0 eng d
020 _aTHE0007062(Local)
039 9 _a201906131028
_bhanafiah
_c201906131028
_dhanafiah
_y201107180842
_zida
040 _aUMP
090 _aTK7882.S65 A36 2010 rs Bc.
100 0 _aAimi Nadia Azmi
245 1 0 _aFir filter for makhraj recognition system /
_cAimi Nadia Azmi
246 3 _aFir filter for makhraj recognition system
_h[computer file]
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axvi, 58 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504 _aBibliography : p. 51-53
520 3 _aAudio 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
650 0 _aSpeech processing systems
999 _aVIRTUA40
_c2817
_d2823
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9992