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Robust Landmark-Based Audio Fingerprinting

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This landmark-based audio fingerprinting system is able to match short, noisy snippets to a reference database in near-constant time.

This is my implementation of the music audio matching algorithm developed by Avery Wang for the Shazam service. Shazam can identify apparently any commercial music track from a short snippet recorded via your cell phone in a noisy bar. I don't have the database to check if my version is quite that good, but it is able to rapidly match and locate a poor-quality excerpt from within a database of (at least) hundreds of tracks.

See http://labrosa.ee.columbia.edu/~dpwe/resources/matlab/fingerprint/ for the "published" output of the demo script.

Notes for running under Windows (from Rob Macrae) are at http://labrosa.ee.columbia.edu/matlab/fingerprint/windows-notes.txt .

Free download from Shareware Connection - This landmark-based audio fingerprinting system is able to match short, noisy snippets to a reference database in near-constant time

Publisher: Dan Ellis | License: Freeware | Price: 0.00
Version: 1.0 | Size: 154 KB | Platform: Matlab, Scripts
Released Date: 09-04-2013 | Rating: 0 | Title: Robust Landmark-Based Audio Fingerprinting

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/23332/3/fingerprint.zip

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