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

ESP32-based voice device for chatting with multiple custom AI bots. Recording questions with I2S microphone, transcribing via ElevenLabs or Deepgram STT, creating response with Groq or Open AI LLM. TTS audio output with custom AI voices via I2S & speaker. Supporting ongoing dialogues, calling bots ‘by name’, real-time web search via keyword.

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

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

This repository contains production-grade firmware for a low-power, autonomous audio recorder based on the ESP32-S3. The device is designed for battery-powered operation, recording high-quality audio to an SD card and automatically uploading the files to any S3-compatible cloud storage service (like AWS S3, Minio, or Wasabi).

Developing firmware for a cheap Multimodal Cardiovascular Monitoring System for detecting PPG, PCG and ECG signal using MAX30102, INMP441 and AD8232 with STM32F401 ARM-Cortex MCU

ESPHome ESP32-S3 + INMP441 audio sentinel (baby monitor) for Home Assistant — adaptive noise floor, squawk/cry alarms, ApexCharts

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

This project demonstrates how to use the ESP32 with an INMP441 I2S microphone to record audio, save it as a `.wav` file on an SD card, and timestamp the recordings using NTP time synchronization over Wi-Fi.

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

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

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

A voice command recognition system using ESP32-WROOM and INMP441 microphone for keyword spotting. This project enables real-time voice command detection with Edge Impulse machine learning.