Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification

Authors

Joseph McKay, Technological University DublinFollow
Mikel Gainza, Technological University DublinFollow
Dan Barry, Technological University DublinFollow

Document Type

Conference Paper

Rights

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.

Recommended Citation

McKay, J., Gainza, M. & Barry, D. Evaluating ground truth for ADRess as a preprocess for automatic musical instrument identification. Paper presented at the 126th Audio Engineering Society Convention, 7-10 May, Munich, Germany, 2009.