2023Unpublished venueRequires access

Technology of sound source localization based on incoming sound intensity

Artem K. Sieriebriakov, Oleksii Hospodarchuk, Danylo Lakhtyr, Volodymyr Simakhin, Serhii Bondar

Open publisher page 2 citations

Abstract

Current article describes an algorithm for determining the distance to the sound source based on estimating the incoming sound power and frequency variations over distance. In this way, it is possible to locate objects based only on their acoustic characteristics, without any visual information. The audio signal is recorded with the help of a group of four interconnected microphones, located on an immovable platform, which was shown to produce the best measurement results. In practice, the precise distance to the sound source is often unknown, which motivates its estimation with the help of other input parameters, such as the incoming sound intensity and its time of arrival. Using these input parameters allows to calculate distance to the sound source in the case of the impulse acoustic signal. Afterwards, it is processed by applying amplitude and frequency algorithms, which are shown to be robust to noises. Such approach can be applied effectively in the necessity of observing moving or stationary objects, the visibility of which may be restricted.

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What this paper is about

Current article describes an algorithm for determining the distance to the sound source based on estimating the incoming sound power and frequency variations over distance. In this way, it is possible to locate objects based only on their acoustic characteristics, without any visual information. The audio signal is recorded with the help of a group of four interconnected microphones, located on an immovable platform, which was shown to produce the best measurement results. In practice, the precise distance to the sound source is often unknown, which motivates its estimation with the help of other input parameters, such as the incoming sound intensity and its time of arrival. Using these input parameters allows to calculate distance to the sound source in the case of the impulse acoustic signal. Afterwards, it is processed by applying amplitude and frequency algorithms, which are shown to be robust to noises. Such approach can be applied effectively in the necessity of observing moving or stationary objects, the visibility of which may be restricted.

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Available abstract

Current article describes an algorithm for determining the distance to the sound source based on estimating the incoming sound power and frequency variations over distance. In this way, it is possible to locate objects based only on their acoustic characteristics, without any visual information. The audio signal is recorded with the help of a group of four interconnected microphones, located on an immovable platform, which was shown to produce the best measurement results. In practice, the precise distance to the sound source is often unknown, which motivates its estimation with the help of other input parameters, such as the incoming sound intensity and its time of arrival. Using these input parameters allows to calculate distance to the sound source in the case of the impulse acoustic signal. Afterwards, it is processed by applying amplitude and frequency algorithms, which are shown to be robust to noises. Such approach can be applied effectively in the necessity of observing moving or stationary objects, the visibility of which may be restricted.

Key concepts: Critical distance, Acoustic source localization, Acoustics, Sound power, Computer science, Sound intensity, Directional sound, Impulse (physics)

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