| Abstract | This paper deals with automatic percussion classification in polyphonic audio recordings, focusing on kick, snare and cymbal sounds. We present a feature-based sound modeling approach that combines general, prior knowledge about the sound characteristics of percussion instrument families (general models) with on-the-fly acquired knowledge of recording-specific sounds (localized models).This way, high classification accuracy can be obtained with remarkably simple sound models. The accuracy is on average around 20% higher than with general models alone.
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