WazDat is a simple audio retrieval system based on the algorithms Shazam uses. It can compare a signal with the database in a time invariant, amplitude invariant and noise resistant way. The project is written in python.

A database is created as follows

python main.py -d dbname --train datafolder/subfolder

Files can then be classified using

python main.py -d dbname -f filename

The project can be cloned as follows:

git clone git@github.com:ArnoldSwaggernegger/WazDat.git

Note that the used datasets are stored on the Git Large File Storage (LFS) system.