Drone audition: implementation of an indoor multi-drone system for sound source tracking

In this study, we introduce an indoor multi-drone system for tracking audible sound sources. The system utilises a number of Crazyflie drones, a mini-sized, open-source drone development platform that allows rapid prototyping and development using the Robotics Operating System 2 (ROS 2). Equipped with a microphone array, sound source tracking is realised by triangulating the spectral response from the Multiple Signal and Classification (MUSIC) algorithm combined with particle filtering. We evaluate the system using real-life demonstrations, and results show the system successfully tracks a single moving sound source in real-time.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10848928
Citations
4
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
1.40
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article

Drone audition: implementation of an indoor multi-drone system for sound source tracking

Kazuhiro Nakadai, Benjamin Yen
4 citations
Speech and Audio Processing
1.40
article

Drone audition: implementation of an indoor multi-drone system for sound source tracking

Kazuhiro Nakadai, Benjamin Yen
article en
4 citations

Abstract

In this study, we introduce an indoor multi-drone system for tracking audible sound sources. The system utilises a number of Crazyflie drones, a mini-sized, open-source drone development platform that allows rapid prototyping and development using the Robotics Operating System 2 (ROS 2). Equipped with a microphone array, sound source tracking is realised by triangulating the spectral response from the Multiple Signal and Classification (MUSIC) algorithm combined with particle filtering. We evaluate the system using real-life demonstrations, and results show the system successfully tracks a single moving sound source in real-time.

Tokyo Institute of Technology (JP)
Openalex Percentile: Top 17%
Speech and Audio Processing
1.40
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