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.

Authors: McKay, Joseph; Gainza, Mikel; Barry, Dan
Affiliation: Dublin Institute of Technology, Dublin, Ireland
AES Convention: 126 (May 2009) Paper Number: 7816
Publication Date: May 1, 2009 Import into BibTeX
Subject: Signal Analysis, Measurements, Restoration
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15012

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