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Preprocessing method for assistive listening system

To reduce noise, there a several types of methods available, and the most common practice is using earmuff in industry and hearing aid for people who have hearing loss. With the advancement of technology, noise Cancelling was introduce to various kind of devices, from music to the automotive industr...

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Main Author:	Muhammad Nur Adri, Nawi
Format:	Undergraduates Project Papers
Language:	English
Published:	2021
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42074/1/Preprocessing%20method%20for%20assistive%20listening%20system.pdf http://umpir.ump.edu.my/id/eprint/42074/
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spelling	my.ump.umpir.420742024-07-24T07:27:38Z http://umpir.ump.edu.my/id/eprint/42074/ Preprocessing method for assistive listening system Muhammad Nur Adri, Nawi T Technology (General) TK Electrical engineering. Electronics Nuclear engineering To reduce noise, there a several types of methods available, and the most common practice is using earmuff in industry and hearing aid for people who have hearing loss. With the advancement of technology, noise Cancelling was introduce to various kind of devices, from music to the automotive industry, and this is because, at present, the number of industries greatly increase with the demand for consumers pushing manufacturer to install new equipment or machine to enable them to operate 24 hours. It leads to noise pollution to surrounding neighborhoods to an extent, local voice a complaint. Moreover, Workers needed to the worker for 8 hours straight and endured the noise in the factory. If this continues, it would lead to hearing loss and indeed a very frequent source of sensory impairment in humans. To overcome this Assistive Listening System (ALS) was developed. Unfortunately, the adaptive filter used in ALS currently cannot accept a directly high level of noise. Accepting a high level of noise would lead to the system algorithm being corrupted. The ALS function is to protect workers from a high level of noise that leads to hearing loss. So, the system algorithm is one of the most important parts of the ALS. To overcome this, the filter is needed, and it is well known as a low pass filter (LPF) is a filter that passes signals with frequencies lower than the selected cutoff frequency and attenuates signals higher than the cutoff frequency, and this system needs only lower frequency to enter the system. This project aims to study how to avoid the adaptive filter from corrupted by a high level of noise. Specifically, investigate and suggest 4 low pass filters in the preprocessing stage of ALS. In addition, evaluate the recommended filter in the preprocessing stages of ALS and choose the suitable one. Besides that, research has been made in the literature review to show that the chosen filter has the capability to perform other task and shows it function in other fields. Other than that, this thesis will show the equation on how the filter was made and show the MATLAB code for each filter. As for information, all the filters used in this project are already designed by engineers in MATLAB and used in this project to test the most suitable one for the system. The result may look similar because it is a low pass filter and not the noise cancellation itself. The results show all low pass filters have the potential to be used and protect the system from being corrupted. 2021-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42074/1/Preprocessing%20method%20for%20assistive%20listening%20system.pdf Muhammad Nur Adri, Nawi (2021) Preprocessing method for assistive listening system. Faculty of Electrical and Electronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Muhammad Nur Adri, Nawi Preprocessing method for assistive listening system
description	To reduce noise, there a several types of methods available, and the most common practice is using earmuff in industry and hearing aid for people who have hearing loss. With the advancement of technology, noise Cancelling was introduce to various kind of devices, from music to the automotive industry, and this is because, at present, the number of industries greatly increase with the demand for consumers pushing manufacturer to install new equipment or machine to enable them to operate 24 hours. It leads to noise pollution to surrounding neighborhoods to an extent, local voice a complaint. Moreover, Workers needed to the worker for 8 hours straight and endured the noise in the factory. If this continues, it would lead to hearing loss and indeed a very frequent source of sensory impairment in humans. To overcome this Assistive Listening System (ALS) was developed. Unfortunately, the adaptive filter used in ALS currently cannot accept a directly high level of noise. Accepting a high level of noise would lead to the system algorithm being corrupted. The ALS function is to protect workers from a high level of noise that leads to hearing loss. So, the system algorithm is one of the most important parts of the ALS. To overcome this, the filter is needed, and it is well known as a low pass filter (LPF) is a filter that passes signals with frequencies lower than the selected cutoff frequency and attenuates signals higher than the cutoff frequency, and this system needs only lower frequency to enter the system. This project aims to study how to avoid the adaptive filter from corrupted by a high level of noise. Specifically, investigate and suggest 4 low pass filters in the preprocessing stage of ALS. In addition, evaluate the recommended filter in the preprocessing stages of ALS and choose the suitable one. Besides that, research has been made in the literature review to show that the chosen filter has the capability to perform other task and shows it function in other fields. Other than that, this thesis will show the equation on how the filter was made and show the MATLAB code for each filter. As for information, all the filters used in this project are already designed by engineers in MATLAB and used in this project to test the most suitable one for the system. The result may look similar because it is a low pass filter and not the noise cancellation itself. The results show all low pass filters have the potential to be used and protect the system from being corrupted.
format	Undergraduates Project Papers
author	Muhammad Nur Adri, Nawi
author_facet	Muhammad Nur Adri, Nawi
author_sort	Muhammad Nur Adri, Nawi
title	Preprocessing method for assistive listening system
title_short	Preprocessing method for assistive listening system
title_full	Preprocessing method for assistive listening system
title_fullStr	Preprocessing method for assistive listening system
title_full_unstemmed	Preprocessing method for assistive listening system
title_sort	preprocessing method for assistive listening system
publishDate	2021
url	http://umpir.ump.edu.my/id/eprint/42074/1/Preprocessing%20method%20for%20assistive%20listening%20system.pdf http://umpir.ump.edu.my/id/eprint/42074/
_version_	1822924528872849408
score	13.23648

Preprocessing method for assistive listening system

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