Chatzam is a decentralized command-line tool, akin to Shazam, designed to identify songs from their audio signatures. By leveraging unique audio signatures, Chatzam can accurately match and identify songs from a vast database. At this moment, the database have a collection of 21.662 songs, ranging from compilations between 1920 to 2018, as well as a lot of recent YouTube playlists. A standout feature of Chatzam is the ability for users to seamlessly integrate their personal songs into the system, expanding the recognition capabilities.
root@pocketvince:~# pip3 install librosa numpyTo identify a song, you can execute the command:
python3 chatzam.py song.mp3If you want to record the signature of a song in data.txt, you can execute:
python3 signature.py song.mp3Additionally, you can add the entirety of a folder:
python3 signature.py /folder/Readme generator: https://www.makeareadme.com/
Logo: https://openai.com/dall-e-2
I had already explored Librosa to create MP3adcleaner Here I simply tried to see if it was possible to create a "Shazam" in command-line and decentralized.