Frequency component restoration for music sounds using local probabilistic models with maximum entropy learning


We propose a method that estimates frequency component structures from musical audio signals and restores missing components due to noise. Restoration has become important in various music information processing systems including music information retrieval. Our method comprises two steps: (1) pattern classification for the initial component-state… (More)


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