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shazam-clone's Introduction

Shazam clone

A shazam clone is made up of two programs:

footprint-audio: This program takes a folder directory containing several WAV files as an input, and stores a serialized database that can be used for later identifying any piece of audio using a FFT + frequency hashing technique.

identify-audio: This takes a WAV file as an input, and then matches the song with a list of songs in a database.

Pre-requisites

  • Intsall the lsndfile library. This is needed to read a .wav file into an array of integers

  • All wav files you use for this project must have:

    • Sample rate of 22.05 KHz
    • Mono channel

Compile and run the identify-audio program

make
./identify-audio [-cuda]

When it prompts you for an audio file, enter: "test/bjork.wav" or any other audio you want to identify.

Compile and run the footprint-audio program

make
./footprint-audio [-cuda]

When it prompts you for the path of a music library, enter: "../../music-wav/"

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yine johndpope

shazam-clone's Issues

LICENSE and Dockerfile

Great project. Have you thought about adding a LICENSE file to opensource this properly. I'd be happy to help you with Dockerfile and wrap up for Kubernetes cluster deployment. Maybe with some horizontal scaling for ingress and pods?

Let me know if you're still working on this or have you found other tools to do the job?

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