Metadata for Audio
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Poster CD2-5
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Efficient Musical Instrument Recognition On
Solo Performance Music Using Basic Features
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Slim Essid,
Ga�l Richard, Bertrand David
GET-T�l�com Paris
(ENST), Paris, France
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| Musical instrument recognition has gained growing concern for
the promise it holds towards advances in musical content description.
The present study pursues the goal of showing the efficiency of some
basic features for such a recognition task in the realistic situation
where solo musical phrases are played. A large and varied database of
sounds assembled from different commercial recordings is used to ensure
better training and testing conditions, in terms of statistical
efficiency. It is found that when combining cepstral features with
others describing the audio signal spectral shape, a high recognition
accuracy can be achieved in association with Support Vector Machine
classification (especially when using a Radial Basis Function kernel). |
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