Document Type

Conference Paper

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This item is available under a Creative Commons License for non-commercial use only

Publication Details

Paper presented at the 126th Audio Engineering Society Convention, 7-10 May, Munich, Germany, 2009.

Abstract

Most research in musical instrument identification has focused on labeling isolated samples or solo phrases. A robust instrument identification system capable of dealing with polytimbral recordings of instruments remains a necessity in music information retrieval. Experiments are described which evaluate the ground truth of ADRess as a sound source separation technique used as a preprocess to automatic musical instrument identification. The ground truth experiments are based on a number of basic acoustic features, while using a Gaussian Mixture Model as the classification algorithm. Using all 44 acoustic feature dimensions, successful identification rates are achieved.

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