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Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone

Audio surveillance can provide an effective alternative to video surveillance in situations where the latter is impractical. Nevertheless, it is essential to note that audio recording raises privacy and legal concerns that require unambiguous consent from all parties involved. By utilizing keyword r...

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Main Authors: Nadhirah Johari, Mazlina Mamat, Yew Hoe Tung, Aroland Kiring
Format: Article
Language:English
English
Published: The Science and Information (SAI) Organization Limited 2023
Subjects:
TA1-2040 Engineering (General). Civil engineering (General)
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:https://eprints.ums.edu.my/id/eprint/37510/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37510/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/37510/
https://dx.doi.org/10.14569/IJACSA.2023.0140631
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spelling my.ums.eprints.375102023-10-13T07:59:43Z https://eprints.ums.edu.my/id/eprint/37510/ Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone Nadhirah Johari Mazlina Mamat Yew Hoe Tung Aroland Kiring TA1-2040 Engineering (General). Civil engineering (General) TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Audio surveillance can provide an effective alternative to video surveillance in situations where the latter is impractical. Nevertheless, it is essential to note that audio recording raises privacy and legal concerns that require unambiguous consent from all parties involved. By utilizing keyword recognition, audio recordings can be filtered, allowing for the creation of a surveillance system that is activated by distress keywords. This paper investigates the performance of the Ensemble Bagged Trees (EBT) classifier in recognizing the distress keyword "Please" captured by a ceiling-mounted omnidirectional microphone in a room measuring 4.064m (length) x 2.54m (width) x 2.794m (height). The study analyzes the impact of different distances (0m, 1m, and 2m) and two directions (facing towards and away from the microphone) on recognition performance. Results indicate that the system is more sensitive and better able to identify targeted signals when they are farther away and facing toward the microphone. The validation process demonstrates excellent accuracy, precision, and recall values exceeding 98%. In testing, the EBT achieved a satisfactory recall rate of 86.7%, indicating moderate sensitivity, and a precision of 97.7%, implying less susceptibility to false alarms, a crucial feature of any reliable surveillance system. Overall, the findings suggest that a single omnidirectional microphone equipped with an EBT classifier is capable of detecting distress keywords in a low-noise enclosed room measuring up to 4.0 meters in length, 4.0 meters in width, and 2.794 meters in height. This study highlights the potential of employing an omnidirectional microphone and EBT classifier as an edge audio surveillance system for indoor environments. The Science and Information (SAI) Organization Limited 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/37510/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/37510/2/FULL%20TEXT.pdf Nadhirah Johari and Mazlina Mamat and Yew Hoe Tung and Aroland Kiring (2023) Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone. International Journal of Advanced Computer Science and Applications(IJACSA), 14. pp. 283-290. ISSN 2156-5570 https://dx.doi.org/10.14569/IJACSA.2023.0140631
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic TA1-2040 Engineering (General). Civil engineering (General)
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Nadhirah Johari
Mazlina Mamat
Yew Hoe Tung
Aroland Kiring
Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
description Audio surveillance can provide an effective alternative to video surveillance in situations where the latter is impractical. Nevertheless, it is essential to note that audio recording raises privacy and legal concerns that require unambiguous consent from all parties involved. By utilizing keyword recognition, audio recordings can be filtered, allowing for the creation of a surveillance system that is activated by distress keywords. This paper investigates the performance of the Ensemble Bagged Trees (EBT) classifier in recognizing the distress keyword "Please" captured by a ceiling-mounted omnidirectional microphone in a room measuring 4.064m (length) x 2.54m (width) x 2.794m (height). The study analyzes the impact of different distances (0m, 1m, and 2m) and two directions (facing towards and away from the microphone) on recognition performance. Results indicate that the system is more sensitive and better able to identify targeted signals when they are farther away and facing toward the microphone. The validation process demonstrates excellent accuracy, precision, and recall values exceeding 98%. In testing, the EBT achieved a satisfactory recall rate of 86.7%, indicating moderate sensitivity, and a precision of 97.7%, implying less susceptibility to false alarms, a crucial feature of any reliable surveillance system. Overall, the findings suggest that a single omnidirectional microphone equipped with an EBT classifier is capable of detecting distress keywords in a low-noise enclosed room measuring up to 4.0 meters in length, 4.0 meters in width, and 2.794 meters in height. This study highlights the potential of employing an omnidirectional microphone and EBT classifier as an edge audio surveillance system for indoor environments.
format Article
author Nadhirah Johari
Mazlina Mamat
Yew Hoe Tung
Aroland Kiring
author_facet Nadhirah Johari
Mazlina Mamat
Yew Hoe Tung
Aroland Kiring
author_sort Nadhirah Johari
title Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
title_short Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
title_full Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
title_fullStr Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
title_full_unstemmed Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone
title_sort effect of distance and direction on distress keyword recognition using ensembled bagged trees with a ceiling-mounted omnidirectional microphone
publisher The Science and Information (SAI) Organization Limited
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/37510/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37510/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/37510/
https://dx.doi.org/10.14569/IJACSA.2023.0140631
_version_ 1781705922045804544
score 13.211869

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