Speech processing for makhraj recognition (design adaptive filter for noise removal)

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 wil...

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Bibliographic Details
Main Author:	Siti Nurmaisarah, Abdul Aziz
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/2017/ http://umpir.ump.edu.my/id/eprint/2017/ http://umpir.ump.edu.my/id/eprint/2017/1/Siti_Nurmaisarah_Abdul_Aziz_%28_CD_5421_%29.pdf

id	ump-2017
recordtype	eprints
spelling	ump-20172015-03-03T07:54:08Z http://umpir.ump.edu.my/id/eprint/2017/ Speech processing for makhraj recognition (design adaptive filter for noise removal) Siti Nurmaisarah, Abdul Aziz TK Electrical engineering. Electronics Nuclear engineering 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. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2017/1/Siti_Nurmaisarah_Abdul_Aziz_%28_CD_5421_%29.pdf Siti Nurmaisarah, Abdul Aziz (2010) Speech processing for makhraj recognition (design adaptive filter for noise removal). Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54725&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Siti Nurmaisarah, Abdul Aziz Speech processing for makhraj recognition (design adaptive filter for noise removal)
description	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.
format	Undergraduates Project Papers
author	Siti Nurmaisarah, Abdul Aziz
author_facet	Siti Nurmaisarah, Abdul Aziz
author_sort	Siti Nurmaisarah, Abdul Aziz
title	Speech processing for makhraj recognition (design adaptive filter for noise removal)
title_short	Speech processing for makhraj recognition (design adaptive filter for noise removal)
title_full	Speech processing for makhraj recognition (design adaptive filter for noise removal)
title_fullStr	Speech processing for makhraj recognition (design adaptive filter for noise removal)
title_full_unstemmed	Speech processing for makhraj recognition (design adaptive filter for noise removal)
title_sort	speech processing for makhraj recognition (design adaptive filter for noise removal)
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/2017/ http://umpir.ump.edu.my/id/eprint/2017/ http://umpir.ump.edu.my/id/eprint/2017/1/Siti_Nurmaisarah_Abdul_Aziz_%28_CD_5421_%29.pdf
first_indexed	2023-09-18T21:55:29Z
last_indexed	2023-09-18T21:55:29Z
_version_	1777414050006695936

Speech processing for makhraj recognition (design adaptive filter for noise removal)

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