Examples for I2S support on microcontrollers that run MicroPython

Using an I2S MEMS microphone on an ESP32

Record 24-bit Audio with the nRF52 and 24-bit I2S Microphones

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.

WLED ESP32 pico board

Audio visualization based on an M5StickC (ESP32), i2s microphone, FFT and RGB LED strip.

Code snippets showing how to record I2S audio and store as .wav file on ESP32 with SD card, how to transcribe pre-recorded audio via Deepgram SpeechToText (STT) API, how to generate audio from text via TextToSpeech (TTS) API from OpenAI a/o SpeechGen a/o Google TTS. Triggering ESP32 actions via Voice.

Example of using an INMP441 microphone with ESP32 over WiFi

This repository contains the information on my adaptation of the Home Assistant voice remote.

Design and Implementation of Microphone Array using Spartan6 ic, cs5340 ic, and I2S protocol for recording the sound of the heart and lung

Measure volume of noise using ESP32 and Adafruit I2S Microphone (SPH0645)

Two state sensor (On/Off) reacting on sound levels measured by I2S microphones ( SPH0645LM4 or INMP441 )

This open-source project offers a bipedal modular companion robot and a framework enriched with custom plugins. Designed to be customizable and extendable according to users' needs, this flexible structure is intended for use in robotics and automation projects. The project includes both hardware and software components

ESP32 WROVER development board with environmental sensors, tiny OLED display, 18650 battery and SD card slot

An example of recording audio onto a MicroSD card, using an INMP441 microphone and a XIAO ESP32-C3

ESP32-based Open AI Voice chat device (similar ChatGPT). Recording questions with a microphone, transcribing via Deepgram STT, then sent to Open AI. Response is played with AI voices on speaker. Supporting ongoing dialogues with saved history for follow-up questions. User defined "system prompts" for own "personalities" and dedicated use cases.

AI-Waifu is an IoT voice assistant developed for the ECL-108 IoT Workshop. It uses two ESP32 DevKit boards communicating via UART to capture voice input with an INMP441 MEMS microphone and produce speech output through a MAX98357A I2S amplifier. The Google TTS API generates responses in a Japanese female voice.