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						Matlab Audio Processing Examples - Columbia University
						https://www.ee.columbia.edu/~dpwe/resources/matlab/#:~:text=Robust%20landmark-based%20audio%20fingerprinting%20This%20is%20my%20implementation,Matlab%2C%20but%20the%20landmark%20hashing%20works%20pretty%20well.
						
						 
						
						
						
						Robust Landmark-Based Audio Fingerprinting
						http://labrosa.ee.columbia.edu/~dpwe/resources/matlab/fingerprint/
						Robust Landmark-Based Audio Fingerprinting. Note: please see also AUDFPRINT which is a more fully-featured fingerprint tool developed from this codebase.. These routines implement a landmark-based audio fingerprinting system that is very well suited to identifying small, noisy excerpts from a large number of items.
						 
						
						
						
						Robust Landmark-Based Audio Fingerprinting - File …
						https://www.mathworks.com/matlabcentral/fileexchange/23332-robust-landmark-based-audio-fingerprinting
						Robust Landmark-Based Audio Fingerprinting. 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 ...
						 
						
						
						
						Robust landmark based audio fingerprinting in matlab ...
						http://freesourcecode.net/matlabprojects/68249/robust-landmark-based-audio-fingerprinting-in-matlab
						The following Matlab project contains the source code and Matlab examples used for robust landmark based audio fingerprinting. This landmark-based audio fingerprinting system is able to match short, noisy snippets to a reference database in near-constant time.
						 
						
						
						
						MIREX 2017 Audio Fingerprinting System
						https://www.music-ir.org/mirex/abstracts/2017/LHJ1.pdf
						MIREX 2017 Audio Fingerprinting System Peng Li Guanglong Hu Junyan Jiang NetEase [email protected] NetEase [email protected] NetEase [email protected] ABSTRACT This document describes our submission to audio finger-printing task of MIREX 2017. Our approach is based on robust landmark detection in spectrogram and efficient
						 
						
						
							
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