In this video, I’ll show you how to use the XIAO ESP32S3 Sense board with Edge Impulse to perform keyword spotting! This is a complete beginner-friendly, step-by-step guide that covers:
- Capturing data with the onboard microphone
- Training a custom machine learning model for voice recognition
- Deploying the model onto the ESP32S3
- Creating a cool project to control an LED using voice commands!
By the end of this tutorial, you’ll have a fully functional voice-controlled LED system powered by Edge Impulse. Whether you're into IoT, machine learning, or just love making projects with microcontrollers, this is the perfect video for you!
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👨🏻💻 Important Links 👨🏻💻
Episode 1 - [ Ссылка ]
Code used in this project - [ Ссылка ]
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ESP32 Dev board - [ Ссылка ]
Seeed Studio XIAO ESP32C3 - [ Ссылка ]
and many more such components are available at [ Ссылка ]
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⏱ Time Stamps ⏱
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🎥 🎙 My Video Gear 🎙🎥
Camera - Canon 750d
Lens - 50mm f/1.8 STM Lens ([ Ссылка ]), 24mm f/2.6
Key Light - Godox SL60W ([ Ссылка ])
Fill Light/Back Light - Osaka Lightning Setup ([ Ссылка ])
Tripod - [ Ссылка ]
Microphone - Zoom H1N([ Ссылка ])
Editing - Final Cut Pro X on MacBook Pro ( [ Ссылка ] )
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#EdgeImpulse #XIAOESP32S3 #KeywordSpotting #VoiceControl #IoT #MachineLearning #DIYProjects
