Spectral method for acoustic impulse events time difference of arrival estimation

The paper deals with localizing an acoustic event source, e.g., gunshots, using two microphone systems. It briefly describes the properties of gunshot patterns and introduces possible methods based on acoustic signals from two microphones for gunshot localization. The localization method is based on the Time Difference of Arrival of an incoming acoustic wave, which is calculated using Phase-Based Delay Estimation. The presented method uses spectral analysis of signals recorded by both microphones to determine the delay in samples between the two signals. It has been shown that the frequency-based method can be, in certain cases, more reliable than commonly used cross-correlation methods.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-19
DOI
https://doi.org/10.1016/j.measen.2024.101420
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

Spectral method for acoustic impulse events time difference of arrival estimation

Jan Holub, Jakub Svatoš, Martin Maxa
Measurement Sensors
Speech and Audio Processing
article

Spectral method for acoustic impulse events time difference of arrival estimation

Jan Holub, Jakub Svatoš, Martin Maxa
article en

Abstract

The paper deals with localizing an acoustic event source, e.g., gunshots, using two microphone systems. It briefly describes the properties of gunshot patterns and introduces possible methods based on acoustic signals from two microphones for gunshot localization. The localization method is based on the Time Difference of Arrival of an incoming acoustic wave, which is calculated using Phase-Based Delay Estimation. The presented method uses spectral analysis of signals recorded by both microphones to determine the delay in samples between the two signals. It has been shown that the frequency-based method can be, in certain cases, more reliable than commonly used cross-correlation methods.

Measurement SensorsVol. 38
Czech Technical University in Prague (CZ)
Openalex Percentile: Top 74%
Speech and Audio Processing
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