Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing
Speech recognition from a distance, also known as far-field automatic speech recognition, uses machine learning for processing. However, environmental conditions often corrupt speech recorded from a distance, causing disturbances. To obtain desired speech from corrupted signals, various techniq...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/110983/ http://psasir.upm.edu.my/id/eprint/110983/1/Role%20of%20beamforming%20techniques%20in%20the%20future%20for%20IoT%2C%20Artificial%20Intelligence%20and%20Real%20Time%20Processing%20Final%20copy%2026-10-23.pdf |
| _version_ | 1848865565588848640 |
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| author | Natarajan, Sureshkumar Al-Haddad, Syed Abdul Rahman Ahmad, Faisul Arif Hassan, Mohd Khair Kamil, Raja Azrad, Syaril Macleans, June Francis |
| author_facet | Natarajan, Sureshkumar Al-Haddad, Syed Abdul Rahman Ahmad, Faisul Arif Hassan, Mohd Khair Kamil, Raja Azrad, Syaril Macleans, June Francis |
| author_sort | Natarajan, Sureshkumar |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Speech recognition from a distance, also known
as far-field automatic speech recognition, uses machine learning
for processing. However, environmental conditions often
corrupt speech recorded from a distance, causing disturbances.
To obtain desired speech from corrupted signals, various
techniques are used, such as de-reverberation, source
separation, denoising, and acoustic beamforming. The aim is to
design a robust and multi-condition adaptive system in far-fieldbased automatic speech recognition systems. This review paper
focuses on speech enhancement for the future of speech with
progressive technologies like deep learning and machine
learning. It highlights the extensive research on beamformingbased speech enhancement over the past few years, based on
different techniques, performance, advantages, limitations, and
scope for improvement. Finally, this paper explores the smart
city applications that benefited from speech enhancement and
beamforming. |
| first_indexed | 2025-11-15T14:06:44Z |
| format | Conference or Workshop Item |
| id | upm-110983 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:06:44Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1109832024-04-25T09:12:31Z http://psasir.upm.edu.my/id/eprint/110983/ Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing Natarajan, Sureshkumar Al-Haddad, Syed Abdul Rahman Ahmad, Faisul Arif Hassan, Mohd Khair Kamil, Raja Azrad, Syaril Macleans, June Francis Speech recognition from a distance, also known as far-field automatic speech recognition, uses machine learning for processing. However, environmental conditions often corrupt speech recorded from a distance, causing disturbances. To obtain desired speech from corrupted signals, various techniques are used, such as de-reverberation, source separation, denoising, and acoustic beamforming. The aim is to design a robust and multi-condition adaptive system in far-fieldbased automatic speech recognition systems. This review paper focuses on speech enhancement for the future of speech with progressive technologies like deep learning and machine learning. It highlights the extensive research on beamformingbased speech enhancement over the past few years, based on different techniques, performance, advantages, limitations, and scope for improvement. Finally, this paper explores the smart city applications that benefited from speech enhancement and beamforming. 2024-02 Conference or Workshop Item NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/110983/1/Role%20of%20beamforming%20techniques%20in%20the%20future%20for%20IoT%2C%20Artificial%20Intelligence%20and%20Real%20Time%20Processing%20Final%20copy%2026-10-23.pdf Natarajan, Sureshkumar and Al-Haddad, Syed Abdul Rahman and Ahmad, Faisul Arif and Hassan, Mohd Khair and Kamil, Raja and Azrad, Syaril and Macleans, June Francis (2024) Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing. In: 2024 8th International Conference on Digital Signal Processing, 23-25 Feb. 2024, Hangzhou, China. (pp. 1-6). |
| spellingShingle | Natarajan, Sureshkumar Al-Haddad, Syed Abdul Rahman Ahmad, Faisul Arif Hassan, Mohd Khair Kamil, Raja Azrad, Syaril Macleans, June Francis Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title | Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title_full | Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title_fullStr | Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title_full_unstemmed | Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title_short | Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing |
| title_sort | role of beamforming techniques in the future for iot, artificial intelligence, and real time processing |
| url | http://psasir.upm.edu.my/id/eprint/110983/ http://psasir.upm.edu.my/id/eprint/110983/1/Role%20of%20beamforming%20techniques%20in%20the%20future%20for%20IoT%2C%20Artificial%20Intelligence%20and%20Real%20Time%20Processing%20Final%20copy%2026-10-23.pdf |