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Self-optimized spectral correlation method for background music identification
Proceedings. IEEE International Conference on Multimedia and Expo
This paper proposes a new method of detecting a known reference signal in an input signal highly corrupted by other sounds. One major application of the method is the identification of broadcast background music corrupted by speech. In this method, the reference signal is first decomposed into a number of small time-frequency components, and the maximum similarity between each component and the input is calculated. The similarities for all the components are then integrated by a voting method.
doi:10.1109/icme.2002.1035786
dblp:conf/icmcs/AbeN02
fatcat:fszbf2axonfgjbckavfrdyasdm