In large audio collections, it is common to store audio content using 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 lossy audio encodings on the application of audio spectrum projection features to the automatic genre classification tasks. We show that decreases in mean classification accuracy, while small, are statistically significant for bit-rates of 96kbps or lower. Also, a heterogeneous collection of audio encodings has statistically significant decreases in mean classification accuracy compared to a pure PCM collection.
Casey, Michael; Fields, Ben; Jacobson, Kurt; Sandler, Mark
Affiliations: Queen Mary University of London;Goldsmith's College(See document for exact affiliation information.)
AES Convention: 124 (May 2008) Paper Number: 7417
Publication Date: May 1, 2008
Subject: Analysis and Synthesis of Sound
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