TinyML - Using Machine Learning on Microcontrollers to Recognize Speech

Explore the world of TinyML in this comprehensive workshop on implementing machine learning on microcontrollers for speech recognition. Learn to train a neural network to recognize spoken words, convert it to a TensorFlow Lite model, and deploy it on an ARM microcontroller for real-time wake word detection. Dive into embedded machine learning concepts, data collection techniques, and the intricacies of creating a speech recognition project. Gain insights into AI, machine learning, and deep learning, while following along with hands-on exercises using Edge Impulse. Discover the potential of running neural networks on microcontrollers and their practical applications in this engaging session led by electrical and embedded engineer Shawn Hymel.