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Speech processing for makhraj recognition: The design of adaptive filter for noise canceller

In our daily life, improvement of makhraj for Arabic alphabets is a topic that very useful in many applications and environments. The existing systems cannot recognize the appropriate pronunciation of each alphabet with the existence of noise. As an example of “ha”, the system may recognize wrong al...

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Main Authors: Nurul Wahidah, Arshad, S. N., Abdul Aziz, Faradila, Naim, Rohana, Abdul Karim, Rosyati, Hamid, Nor Farizan, Zakaria
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25945/1/Speech%20processing%20for%20makhraj%20recognition.pdf
http://umpir.ump.edu.my/id/eprint/25945/
https://doi.org/10.1109/CITA.2011.5999501
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spelling my.ump.umpir.259452019-11-29T07:30:41Z http://umpir.ump.edu.my/id/eprint/25945/ Speech processing for makhraj recognition: The design of adaptive filter for noise canceller Nurul Wahidah, Arshad S. N., Abdul Aziz Faradila, Naim Rohana, Abdul Karim Rosyati, Hamid Nor Farizan, Zakaria TK Electrical engineering. Electronics Nuclear engineering In our daily life, improvement of makhraj for Arabic alphabets is a topic that very useful in many applications and environments. The existing systems cannot recognize the appropriate pronunciation of each alphabet with the existence of noise. As an example of “ha”, the system may recognize wrong alphabet like “kho”. This paper focuses on noise removal in makhraj recognition using Normalized Least Mean Square (NLMS) Algorithm based on Adaptive Filter to search for the optimal solution. There are 30 Arabic alphabets from i until s. However, this project will only use 7 alphabets as samples, they are i to c. The speech processing is used to obtain same waveform output from two different situations. The filtered data is processed to match the standard pronunciations and it is integrated with filter design process in MATLAB. From the result, the waveform of noise cancellation using NLMS algorithm is quite similar with the waveform of reference signal. It is proved that noise cancellation method remove noise from unknown system. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25945/1/Speech%20processing%20for%20makhraj%20recognition.pdf Nurul Wahidah, Arshad and S. N., Abdul Aziz and Faradila, Naim and Rohana, Abdul Karim and Rosyati, Hamid and Nor Farizan, Zakaria (2011) Speech processing for makhraj recognition: The design of adaptive filter for noise canceller. In: IEEE 7th International Conference on Information Technology in Asia, 12-13 July 2011 , Kuching, Sarawak. pp. 1-9.. ISBN 978-1-61284-130-4 https://doi.org/10.1109/CITA.2011.5999501
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nurul Wahidah, Arshad
S. N., Abdul Aziz
Faradila, Naim
Rohana, Abdul Karim
Rosyati, Hamid
Nor Farizan, Zakaria
Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
description In our daily life, improvement of makhraj for Arabic alphabets is a topic that very useful in many applications and environments. The existing systems cannot recognize the appropriate pronunciation of each alphabet with the existence of noise. As an example of “ha”, the system may recognize wrong alphabet like “kho”. This paper focuses on noise removal in makhraj recognition using Normalized Least Mean Square (NLMS) Algorithm based on Adaptive Filter to search for the optimal solution. There are 30 Arabic alphabets from i until s. However, this project will only use 7 alphabets as samples, they are i to c. The speech processing is used to obtain same waveform output from two different situations. The filtered data is processed to match the standard pronunciations and it is integrated with filter design process in MATLAB. From the result, the waveform of noise cancellation using NLMS algorithm is quite similar with the waveform of reference signal. It is proved that noise cancellation method remove noise from unknown system.
format Conference or Workshop Item
author Nurul Wahidah, Arshad
S. N., Abdul Aziz
Faradila, Naim
Rohana, Abdul Karim
Rosyati, Hamid
Nor Farizan, Zakaria
author_facet Nurul Wahidah, Arshad
S. N., Abdul Aziz
Faradila, Naim
Rohana, Abdul Karim
Rosyati, Hamid
Nor Farizan, Zakaria
author_sort Nurul Wahidah, Arshad
title Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
title_short Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
title_full Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
title_fullStr Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
title_full_unstemmed Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
title_sort speech processing for makhraj recognition: the design of adaptive filter for noise canceller
publisher IEEE
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/25945/1/Speech%20processing%20for%20makhraj%20recognition.pdf
http://umpir.ump.edu.my/id/eprint/25945/
https://doi.org/10.1109/CITA.2011.5999501
_version_ 1651866942554767360
score 13.211869

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