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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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2011
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| Online Access: | http://umpir.ump.edu.my/id/eprint/25945/ http://umpir.ump.edu.my/id/eprint/25945/ http://umpir.ump.edu.my/id/eprint/25945/1/Speech%20processing%20for%20makhraj%20recognition.pdf |
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eprints |
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ump-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 |
| 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 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/ http://umpir.ump.edu.my/id/eprint/25945/ http://umpir.ump.edu.my/id/eprint/25945/1/Speech%20processing%20for%20makhraj%20recognition.pdf |
| first_indexed |
2023-09-18T22:40:06Z |
| last_indexed |
2023-09-18T22:40:06Z |
| _version_ |
1777416857956909056 |