Preprocessing Noise Reduction For Assistive Listening System
This research aims to investigate the preprocessing stage of the noise cancellation system to tackle the problem of hearing loss in the industry. A hearing aid may help one to hear sounds, but it will not filter or eliminate background sound. Hence, it is hard to hear clearly. Other than that, for a...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33739/ http://umpir.ump.edu.my/id/eprint/33739/1/Preprocessing_Noise_Reduction_For_Assistive_Listening_System.pdf |
| _version_ | 1848824332367691776 |
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| author | Nurul, Md Yunus Noor Aliff, Noor Affande Roshahliza, M. Ramli Noor, Ali O. Abid Salina, Abdul Samad |
| author_facet | Nurul, Md Yunus Noor Aliff, Noor Affande Roshahliza, M. Ramli Noor, Ali O. Abid Salina, Abdul Samad |
| author_sort | Nurul, Md Yunus |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This research aims to investigate the preprocessing stage of the noise cancellation system to tackle the problem of hearing loss in the industry. A hearing aid may help one to hear sounds, but it will not filter or eliminate background sound. Hence, it is hard to hear clearly. Other than that, for a worker who is working in a high noise environment, repeated exposure to loud noise can lead to severe hearing degradation or permanent hearing loss. There are four proposed filters used for this paper, and four proposed adaptive algorithms in the Assistive Listening System (ALS). These filters and adaptive algorithms are significant to investigate the preprocessing to achieve a high level of Signal- to-Noise Ratio (SNR) performance with a low noise level. Preprocessing method is crucial to minimize the background noises and to eliminate the risk of corrupt hearing. After the findings, the best filter used for preprocessing is the Butterworth Lowpass Filter with a maximum output power of 65 dB; and the best adaptive algorithm is Smart Noise Canceller with an output SNR of 80.43 dB. |
| first_indexed | 2025-11-15T03:11:21Z |
| format | Conference or Workshop Item |
| id | ump-33739 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:11:21Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-337392022-04-21T02:59:44Z http://umpir.ump.edu.my/id/eprint/33739/ Preprocessing Noise Reduction For Assistive Listening System Nurul, Md Yunus Noor Aliff, Noor Affande Roshahliza, M. Ramli Noor, Ali O. Abid Salina, Abdul Samad TK Electrical engineering. Electronics Nuclear engineering This research aims to investigate the preprocessing stage of the noise cancellation system to tackle the problem of hearing loss in the industry. A hearing aid may help one to hear sounds, but it will not filter or eliminate background sound. Hence, it is hard to hear clearly. Other than that, for a worker who is working in a high noise environment, repeated exposure to loud noise can lead to severe hearing degradation or permanent hearing loss. There are four proposed filters used for this paper, and four proposed adaptive algorithms in the Assistive Listening System (ALS). These filters and adaptive algorithms are significant to investigate the preprocessing to achieve a high level of Signal- to-Noise Ratio (SNR) performance with a low noise level. Preprocessing method is crucial to minimize the background noises and to eliminate the risk of corrupt hearing. After the findings, the best filter used for preprocessing is the Butterworth Lowpass Filter with a maximum output power of 65 dB; and the best adaptive algorithm is Smart Noise Canceller with an output SNR of 80.43 dB. IEEE 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33739/1/Preprocessing_Noise_Reduction_For_Assistive_Listening_System.pdf Nurul, Md Yunus and Noor Aliff, Noor Affande and Roshahliza, M. Ramli and Noor, Ali O. Abid and Salina, Abdul Samad (2021) Preprocessing Noise Reduction For Assistive Listening System. In: IEEE 1st International Conference on Electronic and Electrical Engineering and Intelligent Systems (ICE3IS 2021) , 15-16 October 2021 , Online. pp. 114-119.. ISBN 9781665405461 (Published) https://doi.org/10.1109/ICE3IS54102.2021.9649710 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nurul, Md Yunus Noor Aliff, Noor Affande Roshahliza, M. Ramli Noor, Ali O. Abid Salina, Abdul Samad Preprocessing Noise Reduction For Assistive Listening System |
| title | Preprocessing Noise Reduction For Assistive Listening System |
| title_full | Preprocessing Noise Reduction For Assistive Listening System |
| title_fullStr | Preprocessing Noise Reduction For Assistive Listening System |
| title_full_unstemmed | Preprocessing Noise Reduction For Assistive Listening System |
| title_short | Preprocessing Noise Reduction For Assistive Listening System |
| title_sort | preprocessing noise reduction for assistive listening system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/33739/ http://umpir.ump.edu.my/id/eprint/33739/ http://umpir.ump.edu.my/id/eprint/33739/1/Preprocessing_Noise_Reduction_For_Assistive_Listening_System.pdf |