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Example project showcasing how to use a Raspberry Pi Pico, Adafruit's PDM MEMS Microphone Breakout, and Adafruit's 2.0" 320x240 Color IPS TFT Display with microSD Card Breakout to "See sound in real-time". 🔊 👀
This project aims to implement a speech command recognition system on an STM32F407 Discovery board. The system is designed to predict two keywords, "yes" and "no," while classifying other sounds as "noise." It utilizes embedded audio processing and deep learning techniques to achieve efficient speech recognition on a microcontroller platform.
Evaluating the performance of FMAC and CORDIC co-processor units available in STM32G4 in terms of execution speed and power consumption compared to software only implementation done using CMSIS-DSP algorithms.
Features firmware for identifying and controlling a second order plant. It uses the LMS algorithm to estimate the plant parameters, and a standard PID controller implementation to improve the step response of the system.