Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process

This study introduces an enhanced structured signal processing scheme for detecting the ?transmit-echo? of mouth-click signals used by blind individuals for echolocation. The processing scheme is based on coexisting work on the detection of the mouth-click signal, with an additional band-pass filter...

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Main Authors: Saleh N.L., Sali A., Abdullah R.S.A.R., Ahmad S.M.S., Liew J.T., Hashim F., Abdullah F., Rashid N.E.A.
其他作者: 57198797134
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出版: Elsevier B.V. 2025
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spelling my.uniten.dspace-372152025-03-03T15:48:46Z Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process Saleh N.L. Sali A. Abdullah R.S.A.R. Ahmad S.M.S. Liew J.T. Hashim F. Abdullah F. Rashid N.E.A. 57198797134 22981598500 56962777900 24721182400 57209739798 57202656008 56613644500 57219237806 Audition Biomimetics Signal detection Sonar Tracking radar Bio-inspired Blind individuals Filter coefficients Gammatone filters Human echolocator Human mouth Phase correlation Side lobes Signal's detections Signal-processing Bandpass filters This study introduces an enhanced structured signal processing scheme for detecting the ?transmit-echo? of mouth-click signals used by blind individuals for echolocation. The processing scheme is based on coexisting work on the detection of the mouth-click signal, with an additional band-pass filter process introduced before synthesis, multi-phase correlation, and summation. The level of side lobes at the output was improved by more than ?19 dB, and the number of local maxima was minimized by using a band-pass filter. The detection of ?transmit-echo? results using artificial mouth-click signal data was validated and achieved a 100% success rate in detecting obstacles at 60 cm, 80 cm, and 100 cm. Nonetheless, the detection scheme discussed in this investigation is thought to be intuitive, having been learned from the human hearing process. The emerging concepts in this research are expected to benefit radar and sonar system applications in the near future. ? 2023 Elsevier Ltd Final 2025-03-03T07:48:46Z 2025-03-03T07:48:46Z 2024 Article 10.1016/j.measurement.2023.113887 2-s2.0-85178002567 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178002567&doi=10.1016%2fj.measurement.2023.113887&partnerID=40&md5=b11306a7dc87c1377ff9e980169a489f https://irepository.uniten.edu.my/handle/123456789/37215 224 113887 Elsevier B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Audition
Biomimetics
Signal detection
Sonar
Tracking radar
Bio-inspired
Blind individuals
Filter coefficients
Gammatone filters
Human echolocator
Human mouth
Phase correlation
Side lobes
Signal's detections
Signal-processing
Bandpass filters
spellingShingle Audition
Biomimetics
Signal detection
Sonar
Tracking radar
Bio-inspired
Blind individuals
Filter coefficients
Gammatone filters
Human echolocator
Human mouth
Phase correlation
Side lobes
Signal's detections
Signal-processing
Bandpass filters
Saleh N.L.
Sali A.
Abdullah R.S.A.R.
Ahmad S.M.S.
Liew J.T.
Hashim F.
Abdullah F.
Rashid N.E.A.
Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
description This study introduces an enhanced structured signal processing scheme for detecting the ?transmit-echo? of mouth-click signals used by blind individuals for echolocation. The processing scheme is based on coexisting work on the detection of the mouth-click signal, with an additional band-pass filter process introduced before synthesis, multi-phase correlation, and summation. The level of side lobes at the output was improved by more than ?19 dB, and the number of local maxima was minimized by using a band-pass filter. The detection of ?transmit-echo? results using artificial mouth-click signal data was validated and achieved a 100% success rate in detecting obstacles at 60 cm, 80 cm, and 100 cm. Nonetheless, the detection scheme discussed in this investigation is thought to be intuitive, having been learned from the human hearing process. The emerging concepts in this research are expected to benefit radar and sonar system applications in the near future. ? 2023 Elsevier Ltd
author2 57198797134
author_facet 57198797134
Saleh N.L.
Sali A.
Abdullah R.S.A.R.
Ahmad S.M.S.
Liew J.T.
Hashim F.
Abdullah F.
Rashid N.E.A.
format Article
author Saleh N.L.
Sali A.
Abdullah R.S.A.R.
Ahmad S.M.S.
Liew J.T.
Hashim F.
Abdullah F.
Rashid N.E.A.
author_sort Saleh N.L.
title Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
title_short Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
title_full Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
title_fullStr Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
title_full_unstemmed Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
title_sort utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
publisher Elsevier B.V.
publishDate 2025
_version_ 1826077665446068224
score 13.251813