Project Hub /Audio Displays & Interactive Media/Spectrum Analyzer & Audio Visualizers/DIY Sound Source Localization System using Raspberry Pi

Intermediate

RASPBERRY PI

₹5,000 – ₹15,000

3 – 6 Hours

Partial Kit

DIY Sound Source Localization System using Raspberry Pi

A smart sound source localization and visualization system built using a Raspberry Pi and a microphone array, powered by the ODAS framework.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

Raspberry Pi 3 - Model B+ 1.4Ghz 64-bit quad-core Processor with 1 GB Ram (Original) Rs. 5,400.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: 4-Mic

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How It Works

The DIY Sound Source Localization System operates by capturing multi-channel audio data from a dedicated microphone array, such as a ReSpeaker or Sipeed module, connected directly to a Raspberry Pi (compatible with Raspberry Pi 4 models and Raspberry Pi 5). The core audio processing relies on the Open embeddeD Audio System (ODAS) framework running on Raspberry Pi OS. ODAS processes the simultaneous audio streams from the multi-microphone array using advanced digital signal processing algorithms—supported by underlying libraries like libfftw3-dev, libconfig-dev, and libasound2-dev—to determine the precise spatial origin of a sound. By calculating the time difference of arrival (TDOA) across the individual microphone elements within the array, the system computes the direction, angle, and coordinates of the sound source in real time. Node.js and npm manage backend software execution and interface communication. Power is supplied reliably to the single-board computer via an independent 5V power adapter to ensure stable continuous processing without voltage drops. Ultimately, the system bridges physical acoustic waves hitting the microphone capsule array with algorithmic spatial tracking, outputting actionable directional data suitable for interactive media and audio visualization displays.

Why Build This

Design and implement advanced acoustic tracking algorithms relevant to undergraduate engineering concepts in digital signal processing.

Develop smart robotics applications capable of real-time audio localization and drone detection using accessible edge hardware.

Gain hands-on experience deploying complex open-source frameworks like ODAS alongside Node.js on a Linux-based single-board computer.

Real-World Application

Used in smart robotics for audio tracking, drone detection and tracking systems, search and rescue operations during floods, and audio-based research systems.

Skills You'll Learn

digital signal processing

multi-channel audio acquisition

Linux package management

software framework deployment

spatial coordinate calculation

GPIO hardware integration

Safety Precautions

Ensure correct wiring connections between the microphone array and Raspberry Pi GPIO pins to avoid short circuits.

Technology Tags

RASPBERRY PI

ODAS

NODE.JS

MICROPHONE ARRAY

C++

JAVASCRIPT

SOUND LOCALIZATION

3D VISUALIZATION

Frequently Asked Questions

Can I use a Raspberry Pi 5 for this project?

Yes, the system supports both Raspberry Pi 4 and Raspberry Pi 5 platforms.

What software framework handles the sound localization?

The core spatial tracking and acoustic analysis are handled by ODAS (Open embeddeD Audio System), supported by Node.js and specific development libraries.

Do I need a special microphone for this?

Yes, the project requires a 4-mic or 6-mic array, such as a ReSpeaker or Sipeed module, to capture the phase differences needed for sound source localization.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

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