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stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and speech-to-text translation system using a pre-trained machine learning model running on the stm32f407vg microcontroller.
Using RTC with LSE at STM32F4Discovery board (stm32f407vg). Output in display oled 0.96" 126x64 (ssd1306) by I2C interface. Timer 6 interrupt used for update lcd screen. On stm32f4discovery board you need to set X3 crystal (32768 Hz) and C16 and C22 (6.8pF). If you havn't X3 crystal you should edit the code and set LSI using in RCC section.
Project allowing for voltage measurement through external ADC connected with STM32F407 and PC through UART. Sigma-delta analog to digital converter AD 7403-8 was used in this project. Sinc3 filter was used to reconstruct the original input signal information from ADC output bit stream.
STM32F407 connected with LCD and four buttons that works as a simple clock. LCD and microcontroller are connected through 16 pins, LCD.c contains functions written to operate display connected that way.