Projects / IoT & Electronics

ESP32 to Process Audio Signals: Software (Fourier Transforms) and Hardware (MSGEQ7)

March 4, 20192 min read

📺 Watch the Video View on YouTube --- Here we use ESP32 microcontroller to analyze real-time audio signals 1. Real-time FFT to get frequencies 2. Use...

ESP32 Home Assitant IoT LEDs WiFi Fourier Transforms MSGEQ7 debashish sahu

Watch on YouTube

📺 Watch the Video

View on YouTube

Here we use ESP32 microcontroller to analyze real-time audio signals

Real-time FFT to get frequencies
Use MSGEQ7 chip to get the same data
Display frequency bands on LEDs as bars

FFT basics:

📺 Watch the Video

View on YouTube

GitHub: debsahu/ESP32_FFT_Audio_LEDs

Libraries Needed

Software FFT platformio.ini and Hardware FFT platformio.ini is included, use PlatformIO and it will take care of installing the following libraries.

Library	Link
arduinoFFT	https://github.com/kosme/arduinoFFT
WS2812FX	https://github.com/kitesurfer1404/WS2812FX
MD_MSGEQ7	https://github.com/debsahu/MD_MSGEQ7

Known Limitations

Sampling frequency must be high
Sampling time should not interfere with other WiFi functions
FFT calculations are CPU intensive
Frequency binning needs to be done manually

Wiring

ww_wiring

hw_wiring

Technologies Used

ESP32 Home Assitant IoT LEDs WiFi Fourier Transforms MSGEQ7 debashish sahu

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