AES E-Library

User Driven, Local Model, Reclassification of Drum Loop Audio Slices

We present a method for significantly improving the results of drum loop slice classification. An onset detector is used to slice loops of percussion only audio. Low level features are extracted from the audio slices and the slices are classified into one of seven percussion classes by a previously trained PART decision table. This general classification algorithm shows only an adequate performance. The user is then allowed to correct incorrect classifications. Each corrected classification is combined with a subset of the original classifications and a nearest neighbour algorithm reclassifies the remaining slices according to the corrected local model. The resultant algorithm converges on a 100\% correct solution, with nearly 40% fewer re-classifications than a non-assisted approach.

Authors: Lindsay-Smith, Henry; Mcdonald, Skot; Sandler, Mark
Affiliations: FXpansion Audio Ltd., London, UK; Queen Mary University of London, London, UK(See document for exact affiliation information.)
AES Convention:130 (May 2011) Paper Number:8356 Import into BibTeX
Subject:Live and Interactive Sound

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 130Papers)   /130/8356.pdf

Start a discussion about this paper!