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A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds

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Luis Corral¹, Pablo E Román¹

¹Universidad de Santiago de Chile, Departamento de Ingeniería Informática, Santiago, Chile.

|October 27, 2025

Summary

This study presents a versatile, 3D-printed hardware setup for acoustic imaging, enabling simultaneous multi-channel audio and visual data recording for precise noise source localization and analysis.

Keywords:

Acoustic camera Holography Point cloud

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Area of Science:

Acoustics
Signal Processing
Instrumentation

Background:

Acoustic imaging analysis is crucial for identifying noise sources and their spatial parameters.
Simultaneously recording multi-channel audio and visual data presents a significant technical challenge for accurate sound localization.

Purpose of the Study:

To develop a cost-effective, adaptable hardware interconnection device for multi-microphone acoustic imaging.
To facilitate simultaneous recording of high-fidelity audio and optional visual data for noise source analysis.

Main Methods:

Designing a modular hardware system with readily available components and minimal PCB requirements.
Utilizing a 3D-printed base for customizable portable microphone array configurations.
Implementing a script for 16-channel audio recording (48 kHz, 32 bits) and optional depth camera data acquisition.

Main Results:

The developed system is USB 2.0 compliant, ensuring broad compatibility with computers and development boards.
Successful acquisition of multi-channel audio and point cloud data demonstrated.
Post-processing using inverse methods enabled holographic reconstruction of noise source surface parameters and sound power approximation.

Conclusions:

The proposed hardware setup offers a flexible and accessible solution for advanced acoustic imaging applications.
This system simplifies the complex task of multi-modal data acquisition for noise source analysis.
The methodology supports accurate spatial positioning and parameter estimation of acoustic sources.