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Keyword spotting

Tutorial for detecting keywords spoken into a microphone

Intermediatev1.0.0AudioAssistantAIML
Introduction
Supported devices
Hardware and devices
Cloud services and integrations
Project description

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-impulseEdge Impulse
  • particle-logoIntegrations
  • particle-logoLogic
  • particle-logoLedger

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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