Fir filter for makhraj recognition system

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 l...

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Main Author: Aimi Nadia, Azmi
Format: Undergraduates Project Papers
Language:English
English
English
English
Published: 2010
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1976/
http://umpir.ump.edu.my/id/eprint/1976/
http://umpir.ump.edu.my/id/eprint/1976/1/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Table%20of%20content.pdf
http://umpir.ump.edu.my/id/eprint/1976/2/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/1976/3/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Chapter%201.pdf
http://umpir.ump.edu.my/id/eprint/1976/16/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20References.pdf
id ump-1976
recordtype eprints
spelling ump-19762017-04-06T02:58:07Z http://umpir.ump.edu.my/id/eprint/1976/ Fir filter for makhraj recognition system Aimi Nadia, Azmi TK Electrical engineering. Electronics Nuclear engineering 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 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1976/1/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1976/2/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1976/3/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1976/16/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20References.pdf Aimi Nadia, Azmi (2010) Fir filter for makhraj recognition system. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54770&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Aimi Nadia, Azmi
Fir filter for makhraj recognition system
description 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
format Undergraduates Project Papers
author Aimi Nadia, Azmi
author_facet Aimi Nadia, Azmi
author_sort Aimi Nadia, Azmi
title Fir filter for makhraj recognition system
title_short Fir filter for makhraj recognition system
title_full Fir filter for makhraj recognition system
title_fullStr Fir filter for makhraj recognition system
title_full_unstemmed Fir filter for makhraj recognition system
title_sort fir filter for makhraj recognition system
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/1976/
http://umpir.ump.edu.my/id/eprint/1976/
http://umpir.ump.edu.my/id/eprint/1976/1/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Table%20of%20content.pdf
http://umpir.ump.edu.my/id/eprint/1976/2/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/1976/3/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20Chapter%201.pdf
http://umpir.ump.edu.my/id/eprint/1976/16/Fir%20filter%20for%20makhraj%20recognition%20system%20-%20References.pdf
first_indexed 2023-09-18T21:55:23Z
last_indexed 2023-09-18T21:55:23Z
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