Shazam In Python

This repository gives an overview of how the original versions of Shazam, detailed in Wang, operate, with code examples in Python.

I recommend reading the Jupyter notebook, rendered on my website.

Basic Instructions for Running the Code

This loose collection of files are made to be modified to suit your own files and directory structure, however some basic guidance is to:

1. Install requirements: pip install -r requirements.txt
2. Create a collection of .wav files in data/ from MP3s using a command such as ls *.mp3 | rg -o "(.*?)\.mp3" -r '$1' | xargs -n 1 -I '{}' -d '\n' ffmpeg -i '{}.mp3' -ac 1 'converted/{}.wav
3. Create a database of song fingerprints: python create_database.py
4. Match a recording.wav to one of the songs in the database using: python find_match.py