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.

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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.

music-recognition audio-monitoring broadcast-automation sound-engineering content-identification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

50

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 12, 2024

Commits (30d)

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