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Classifying music audio with timbral and chroma features

Daniel P. W. Ellis

Title:
Classifying music audio with timbral and chroma features
Author(s):
Ellis, Daniel P. W.
Date:
Type:
Presentations
Department:
Electrical Engineering
Permanent URL:
Notes:
Presented at the 8th International Symposium on Music Information Retrieval, Vienna, Austria, September 23-27, 2007.
Abstract:
In addition to conventional cepstra, we model the covariance of chroma (melodic/harmonic) features and gain a small improvement in a 20-way pop music artist identification.
Subject(s):
Artificial intelligence, Electrical engineering
Item views:
15
Metadata:
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