SPEKTRAL DALAM PRAPEMPROSESAhI SISTEM PENGECAMAII

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SPEKTRAL DALAM PRAPEMPROSESAhI SISTEM PENGECAMAII
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a
SPEKTRAL DALAM PRAPEMPROSESAhISISTEM
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PENGECAMAII SUARA
MOHAMMAD
I
ZAHARUDIN BIN AHMAD DARUS
Tesisini dikemukakan sebagaimemenuhi syarat penganugerahan
ljazah Sarjana Muda SainsKomputer
Fakulti SainsKomputer dan SistemMaklumat
Universiti Teknologi Malaysia
Mac.2003
ABSTRAK
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Sistempengecamansuarakini merupakansatubidang yang hangatdiperkatakan
juanpembangunannyasejajardenganaliran zamaniaitu interaksi antara
ia denganmesin. walaupun perkembanganteknologi ini semakinpesat,namun
lagi terdapatbeberapamasalahyang perlu diperbaiki dan di ubahsuaidari masa
Antara masalahyang wujud adalahkesanhingar apabilasuaradimasukkan
ibunyi kipasyang berpusing,bunyi hujan dan sebagainya.
oleh itu, masalah
i perlulah diatasi semasaperingkatpra pemprosesanpengecamansuaraiaitu
prosesanalisis spektral.Di dalam projek ini, penyelesaiankepadamasalah
$emasa
tersebut
diatasidenganmenggunakanteknik jelmaanfourier cepatatauFFT. FFT
digunakan
untuk menukarkanisyarat diskrit atau digital dalam keadaandomain masa
kepada
isyaratdiskrit dalam keadaandomain frekuensidan bertindak sebagaipenuras
untukmemisahkanisyarat hingar daripadaisyarat suara.Hasil bagi projek ini adalah
paparan
isyarat suarayang dimasukkanoleh penggunaiaitu paparanselepaspenukaran
isyaratanalogkepadadiskrit dalam keadaandomain masadan paparanselepas
pemprosesan
isyarat suaramenjadi isyarat diskrit dalam keadaandomain frekuensi.
V1
ABSTRACT
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Speechrecognition systemis on the popular activity nowadaysand the progress
is parallel to the millennium that is the interactionbetweenhuman
ine.Even though the technologyis well developed,there are problemsthat
be changedand improved from time to time. Amongst the problem the rise are
thatcausedby the soundof spinning fan, falling rain and et ceterawhen speech
beput in. Therefore,we have to avoid problems like this during the speech
itionpreprocessing
level that is spectralanalysis.In this project,the problemis
by using the fast Fourier transform technique(FFT). FFT is usedto convert the
or digital signal in time domain condition to discretesignal in a frequency
condition and to act as a filter to separatethe noise from speechsignal. The
resultof this project are, the display after the changefrom analogto discretesignal in
timedomainand also the display after the conversionof speechsignal to discretesignal
in frequencydomain.
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RUJUKAN
saeedv. vaseghi (1996)."AdvanceSignalProcessingand Digital Noise
Reduction"Queen'sUniversityof Belfast : JohnWiley & Sons,Inc.
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New Jersy: PrenticeHall, Inc.(l.0)
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Jersey: Houghton Mifflin Company.
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Pitman,Inc.
LawrenceRabiner,Biing-Hwa Juang(1993)."Fundamentalsof speech
Recognition".New jersey : prenticeHall, Inc.
89
Mihai SIMA, Dragos BURILEANU, Corneliu BURILEANU, Victor
CROITORU- "Full-Custom Softwarefor Start/EndPoint Detectionof IsolatedSpokenWords" : Universityof Bucharest,Facultyof Electronicsand
Telecommunications.
i
AbelHerreral,Alfredo Ramosand Karin Yamasaki- "speechDetectionin High
NoiseConditions": Departmentof Telecomunication,Faculty Enggineering,
UniversidadNational Aut6nomade Mdxico.
Lucy Liao and Mark A Gregory* "Algorithms For SpeechClassification":
RMIT University Melbourne Victoria Australia
SumitBasu,Brian Clarkson,andAlex Pentland-'osmart Headphones:
EnhancingAuditory AwarenessThrough Robust SpeechDetection and Source
Locazitation" : MIT Media Laboratorv.Cambridse.

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