Audio Visualizer for Raspberry Pi

Contributors: Thomas Kou, Hansson Lin

An audio visualization program and our SE 101 term project. For use with Raspberry Pi and programmed in Python 3.6 using PyCharm. Able to display both .wav audio files and audio from microphone input.

The src folder contains code that runs on a computer, decoding audio signals and sending them to an external MQTT server. The raspberry folder contains a script Lights.py that runs on the Raspberry Pi, which is responsible for receiving messages from the MQTT server and displaying them on an attached 32x64 LED board.

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Usage

Raspberry Pi initialization:

• With an internet connection and with superuser privileges, run raspberry/Lights.py through the terminal with the arguments --led-rows=32 --led-cols=64 --led-pwm-bits 1 --led-slowdown-gpio 2 --led-no-hardware-pulse LED-NO-HARDWARE-PULSE.

WAV playback from a computer:

• Place a .wav file in the audio folder. In src/Main.py, set INPUT to false and set the FILE variable to the target file path relative to the audio folder. Then, run src/Main.py.

Microphone input from a computer:

• In src/Main.py, set INPUT to true. Set TIMED to either true or false depending on whether timed or indefinite microphone input is desired. If timed, also set SECONDS to the desired duration. Then, run src/Main.py.

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Libraries used

• Computer: numpy, pyaudio, wave, and paho-mqtt.

• Raspberry Pi: paho-mqtt and rgbmatrix.

• matplotlib and tkinter are optional and used only for testing purposes. If needed, these can be commented out.

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Additional credits

The file raspberry/SampleBase.py is sourced from the rpi-rgb-led-matrix repository and used under the GPL v3.0 license. Credits go to hzeller and the other contributors of the repository.