Bare-metal audio ML classifier on microcontrollers: case study

A TinyML audio-classification workflow that trains in Python, exports to C and runs directly inside bare-metal firmware. This DEV.to version is a short engineering note extracted from the case study, with the complete English page linked at the end. Stack at a glance Python, C99, scikit-learn, librosa, Random Forest, MFCC, ESP32, STM32. Why this matters Audio ML on microcontrollers is interesting when inference must happen locally, with low latency and no cloud dependency. For small classifiers,