TinyPICO I2S Audio, I2S Microphone & 3.7W Stereo Amplifier Module with Built-in MicroSD card reader

Arduino Core for Deneyap DevKits

Raspberry Pi I2S Stereo Microphone Analyses in Python

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.

Simple project for live audio streaming and recording from an I2S MEMS microphone (INMP441) over UDP, using an ESP8266 (NodeMCU). The ESP8266 reads stereo 16-bit samples from the microphone via I2S and transmits them as raw UDP packets to a listener PC on the local network.

Simple project for live audio streaming and recording from an I2S MEMS microphone (INMP441) over UDP, using an ESP32 DevKit C V2. The ESP32 reads audio samples from the microphone via I2S and transmits them as raw UDP packets to a listener PC on the local network.

BSc Thesis: Design of Sound Source Localization System Based on FPGA and MEMS Microphone.

Sound pressure meter running on STM32L476-DISCOVERY board

MicroPython Core for Deneyap DevKits

Platformio Core for Deneyap DevKits

A device to manage your house with Machine Learning

ESP32-C6 Zigbee end device that reads ambient sound levels from a MEMS microphone via I2S and reports normalized RMS amplitude to Zigbee2MQTT.

An ESP32-MATLAB based real-time snoring analysis system that wirelessly acquires audio from an INMP441 MEMS microphone, performs digital signal processing, detects snore events, computes the Snore Index, extracts acoustic features, and estimates sleep apnea severity.