ChrisNick92/deep-audio-fingerprinting
A repository for my MSc thesis in Data Science & Machine Learning @ NTUA. A deep learning approach to audio fingerprinting for recognizing songs on real time through the microphone.
This project helps audio engineers, broadcasters, and music streamers quickly identify music playing live through a microphone. It takes a short audio clip as input and outputs the name of the song, even with background noise. This is for anyone who needs to recognize music in real-time, such as for content monitoring or automatic playlist generation.
No commits in the last 6 months.
Use this if you need a robust, real-time music recognition system that can identify songs from noisy audio captured via a microphone.
Not ideal if you need to analyze pre-recorded audio files for music identification, as this is optimized for live microphone input.
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50
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Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 12, 2024
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