In large audio collections, it is common to store audio content with perceptual encoding. However, encoding parameters may vary from collection to collection or even within a collection - using different bit rates, sample rates, codecs, etc. We evaluate the effect of various audio encodings on the onset detection task. We show that audio-based onset detection methods are surprisingly robust in the presence of MP3 encoded audio. Statistically significant changes in onset detection accuracy only occur at bit-rates lower than 32kbps.

Authors: Jacobson, Kurt; Davies, Matthew; Sandler, Mark
Affiliation: Queen Mary University of London
AES Convention: 125 (October 2008) Paper Number: 7541
Publication Date: October 1, 2008
Subject: Audio Content Management

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