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-echoof 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 pr...

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Published in:MEASUREMENT
Main Authors: Saleh, Nur Luqman; Sali, Aduwati; Abdullah, Raja Syamsul Azmir Raja; Ahmad, Sharifah M. Syed; Liew, Jiun Terng; Hashim, Fazirulhisyam; Abdullah, Fairuz; Rashid, Nur Emileen Abdul
Format: Article
Language:English
Published: ELSEVIER SCI LTD 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001125680800001
author Saleh
Nur Luqman; Sali
Aduwati; Abdullah
Raja Syamsul Azmir Raja; Ahmad
Sharifah M. Syed; Liew
Jiun Terng; Hashim
Fazirulhisyam; Abdullah
Fairuz; Rashid
Nur Emileen Abdul
spellingShingle Saleh
Nur Luqman; Sali
Aduwati; Abdullah
Raja Syamsul Azmir Raja; Ahmad
Sharifah M. Syed; Liew
Jiun Terng; Hashim
Fazirulhisyam; Abdullah
Fairuz; Rashid
Nur Emileen Abdul
Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
Engineering; Instruments & Instrumentation
author_facet Saleh
Nur Luqman; Sali
Aduwati; Abdullah
Raja Syamsul Azmir Raja; Ahmad
Sharifah M. Syed; Liew
Jiun Terng; Hashim
Fazirulhisyam; Abdullah
Fairuz; Rashid
Nur Emileen Abdul
author_sort Saleh
spelling Saleh, Nur Luqman; Sali, Aduwati; Abdullah, Raja Syamsul Azmir Raja; Ahmad, Sharifah M. Syed; Liew, Jiun Terng; Hashim, Fazirulhisyam; Abdullah, Fairuz; Rashid, Nur Emileen Abdul
Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process
MEASUREMENT
English
Article
This study introduces an enhanced structured signal processing scheme for detecting the transmit-echoof 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-echoresults 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.
ELSEVIER SCI LTD
0263-2241
1873-412X
2024
224

10.1016/j.measurement.2023.113887
Engineering; Instruments & Instrumentation

WOS:001125680800001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001125680800001
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
container_title MEASUREMENT
language English
format Article
description This study introduces an enhanced structured signal processing scheme for detecting the transmit-echoof 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-echoresults 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.
publisher ELSEVIER SCI LTD
issn 0263-2241
1873-412X
publishDate 2024
container_volume 224
container_issue
doi_str_mv 10.1016/j.measurement.2023.113887
topic Engineering; Instruments & Instrumentation
topic_facet Engineering; Instruments & Instrumentation
accesstype
id WOS:001125680800001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001125680800001
record_format wos
collection Web of Science (WoS)
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