Audio Visualizer and Tone Generator

This is a very simple project to visualize an audio file using Python tools. It uses matplotlib and numpy to visualize the audio graph, and uses pydub to convert non-.wav files to .wav format for parsing. The output is similar to what you might see in a digital audio editing package.

Additionally, the tonefile.py program and class shows how to generate a .wav file with tones.

Steps to run

1. Setup a virtual environment. If you use anaconda then just do conda create -n (name_of_environment) and conda activate (name_of_environment). Otherwise use virtualenv in the usual way: python -m virtualenv venv followed by the appropriate activate command (venv/bin/activate on Linux and Mac, venv\Scripts\activate.bat or venv\Scripts.activate.ps1 on Windows for cmd.exe and PowerShell respectively.)
2. Install packages. pip install -r requirements.txt
3. Run the app to plot the demo file: python app.py demo.wav
4. It also works with mp3 files: python app.py demo.mp3

Sample Output

Notes

For anything other than a .wav file, pydub is used to first convert it to a temporary .wav file. The temporary file is deleted when the program exits.

You can write the output of the plot directly to a .png file by providing the -o command line option. This will write the plot to a file rather than displaying it. For example: python app.py demo.wav -o output.png

You can control the size of the output plot by using the -x and -y command line options. These values are passed directly to matplotlib's figsize option. For example: python app.py demo.wav -o output.png -x 8 -y 4 for a small plot.