Developing a simple prototype of Shazam in Python.

• fingerprint_algorithm.ipynb : notebook that contains the explanation and implementation of the algorithm to a theoretical case.
• fpal_test : nootebook testing of the algorithm in a real situation, implementation of recorded audio files for fingerpirnt recognition.
• integrazione.ipynb : notebook containing some tests to look further into the robustness of the algorithm to white noise, clipping distortion and pitch shifting

• genres_original : folder containing more than 1000 songs in .wav format. Unlabeled, they are solely and exclusively for testing the algorithm.
• converted_memo : folder that contains .wav audio recordings (contain presence of noise). Useful for testing the algorithm in non-ideal situations
• clipping, pitch, white_noise : empty folders needed for storing temporary audio files in integrazione.ipynb

• requirements.py : easy install all the items usefull for this project
• functions.py : some functions needed for the notebooks, particularly integrazione.ipynb
• references.md : bibliography