Blueprints / Keyword spotting
Keyword spotting
Tutorial for detecting keywords spoken into a microphone
Intermediatev1.0.0AudioAssistantAIML
Introduction
The Keyword Spotting tutorial is reference project to identify the keywords "Yes" and "No" in audio data received from a PDM microphone.
This solution is designed for Particle devices like the Photon 2, Boron, and M-SoM.
Supported devices
Hardware and supplies
- Supported device
- PDM microphone
Cloud services and integrations
Edge Impulse
Integrations
Logic
Ledger
Project description:
The keyword spotting tutorial detects keywords spoken into a microphone, using Edge Impulse's machine learning capabilities.
This solution is designed to be deployed on Particle devices, such as the Photon 2, Boron, and M-SoM, and works with sensors to monitor and classify audio patterns in real-time. The default model detects "Yes" and "No," but you can train it for any desired keywords using Edge Impulse.
Key Features:
- Utilizes Edge Impulse’s machine learning platform to develop a responsive, customizable keyword-spotting model
- Supports seamless deployment on Particle hardware, enabling real-time edge processing
- Designed for new users and developers to quickly test, adapt, and expand their IoT solutions
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