Learn to implement audio scene recognition using TinyML on the Wio Terminal microcontroller with Arduino IDE in this comprehensive tutorial. Explore sound processing techniques for machine learning, data collection methods, and model training using Edge Impulse. Discover how to deploy the trained model and integrate mobile notifications with Blynk. Gain insights into Fourier transforms and achieve up to 85% accuracy in audio scene classification. Follow along with the step-by-step guide, from introduction to conclusion, and enhance your skills in developing ML applications for microcontrollers.
Wio Terminal TinyML Course - Audio Scene Recognition on Microcontrollers with Arduino IDE
Hardware.ai via YouTube
Overview
Syllabus
Intro
Sound processing for ML
Collecting the training data
Data processing and Model training
Deployment
Mobile notifications with Blynk
Conclusion
Taught by
Hardware.ai
Related Courses
-
Deploying TinyML
-
Introduction to TinyML on Wio Terminal - Machine Learning on Microcontrollers
-
Wio Terminal TinyML Course - Anomaly Detection for Predictive Maintenance with Blynk IoT Platform
-
Wio Terminal TinyML Course - People Counting and Azure IoT Central Integration - Part 3
-
Speech-to-Intent on MCU: TinyML for Efficient Device Control - Lecture 6
-
Wio Terminal TinyML Weather Prediction with TensorFlow Lite and LVGL GUI - Course 4
