AudioVisualiser (Experimental)

Warning

This repository is experimental. Features may be incomplete, and the code is subject to significant changes.

An advanced audio visualizer built for the Raspberry Pi Pico 2 (RP2350) using the PlatformIO ecosystem. This project performs real-time FFT (Fast Fourier Transform) analysis on audio input and visualizes the results on both a TFT display and multiplexed NeoPixel LED strips.

Features

• Real-time FFT Analysis: Processes audio samples to extract frequency magnitude data.
• TFT Display Integration: Uses the TFT_eSPI library to display frequency bars, peak traces, and a settings UI.
• Multiplexed LED Strips: Controls multiple NeoPixel strips using a multiplexed hardware setup.
• Dynamic Animations: Includes various animation modes like Normal and Centre for LED visualizations.
• Settings UI: On-screen menu for adjusting parameters like brightness and visualization modes (TODO).
• Auto-Loudness Adjustment: Automatically adjusts sensitivity based on sound levels.

Hardware & Environment

• Microcontroller: Raspberry Pi Pico 2 (RP2350).
• Display: ILI9341-based TFT (or similar supported by TFT_eSPI).
• Audio Input: I2S Microphone.
• LEDs: WS2812B (NeoPixel) strips.
• Framework: Arduino (Earle Philhower's RP2040/RP2350 core).
• Build Tool: PlatformIO.

Library Dependencies

• TFT_eSPI
• Adafruit NeoPixel
• arduino-audio-tools (RealFFT)

Project Structure

• src/: Main application logic.
• lib/: Custom libraries for analysis, animations, display handling, and peripheral control.
• include/: Global definitions and constants.
• other/recs/: Sample audio recordings for testing/analysis.