A simple MEMS I2S microphone and audio processing library for ESP32.

Raspberry Pi I2S Stereo Microphone Analyses in Python

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.

ESP32 sound meter with multiple INMP441 MEMS microphones

Raspberry Pi Pico (RP2040) playground

ESP32 INMP441 SPECTRUM WITH BLUETOOTH CONTROL

Example of using an INMP441 microphone with ESP32 over WiFi

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

Most people means UNO/Nano is to slow for I2S_MIC INMP441 but there is a Trick toggle PB3 with Timer2 and Timer 0 to save CPU-Time ->Sampling 25Khz

Wakeword Detection using INMP441

This project's aim is to calculate localized coordinates of a sound source using three ESP32 microcontrollers and digital microphones.

Read INMP441 microphone sensor data in esp32, and serial write, sensor data. With help of python code serial read sensor data to plot frequency (FFT) in python

The audio recorder consists of ESP32 and INMP441 with recording to MicroSD.

Captures audio data from an INMP441 and stores it in .txt files.

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.