Music genre recognition with risk and rejection

Bob L. Sturm

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5 Citationer (Scopus)
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We explore risk and rejection for music genre recognition (MGR)
within the minimum risk framework of Bayesian classification.
In this way, we attempt to give an MGR system knowledge that
some misclassifications are worse than others,
and that deferring classification to an expert may be a better option
than forcing a label under high uncertainty.
Our experiments show this approach to have some success
with respect to reducing false positives and negatives.
TidsskriftInternational Conference on Multimedia and Expo
StatusUdgivet - 2013
Begivenhed2013 IEEE International Conference on Multimedia & Expo - San Jose, USA
Varighed: 15 jul. 201319 jul. 2013


Konference2013 IEEE International Conference on Multimedia & Expo
BySan Jose


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