Building a Real-Time Embedded Audio Sampling Application with MicroPython

Explore the process of developing a real-time embedded audio sampling application using MicroPython in this EuroPython 2017 conference talk. Dive into the architecture, test methodologies, and source code evolution of a project aimed at creating automatic and continuous voice recording and playback for short spoken phrases. Learn about MicroPython, an optimized implementation of Python 3 for micro-controllers, and its application on the pyboard hardware with the AMP Audio skin. Discover the challenges and solutions in designing embedded systems, including noise reduction, automatic speech detection, and SD card storage. Gain insights into analog-to-digital conversion, oscilloscope testing, and application refinements. Conclude with a live demonstration of the final product, showcasing the practical applications of MicroPython in embedded audio systems.

Introduction
Overview
MicroPython
Hardware
Audio Skin
Required Skills
What is Speech
Analog to Digital
Recording on a PI
Retimed or Read
Oscilloscope test
Initial setup
Initial recording
Noise analysis
Noise reduction
Application refinements
User button
Automatic speech detection
SD card storage
Putting it together
Thank you
Conclusion