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AMT
2010
Springer

Music Information Retrieval with Temporal Features and Timbre

9 years 1 months ago
Music Information Retrieval with Temporal Features and Timbre
At a time when the quantity of music media surrounding us is rapidly increasing and the access to recordings as well as the amount of music files available on the Internet is constantly growing, the problem of building music recommendation systems is of great importance. In this work, we perform a study on automatic classification of musical instruments. We use monophonic sounds. The latter have successfully been classified in the past, with main focus on pitch. We propose new temporal features and incorporate timbre descriptors. The advantages of this approach are: preservation of temporal information and high classification accuracy.
Angelina A. Tzacheva, Keith J. Bell
Added 12 May 2011
Updated 12 May 2011
Type Journal
Year 2010
Where AMT
Authors Angelina A. Tzacheva, Keith J. Bell
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