Audio Music Mood Classification Using Support Vectormachine
نویسندگان
چکیده
The system submitted to the MIREX Audio Music Mood Classification task is described here. It uses a set of 133 descriptors and a Support Vector Machine classifier to predict the mood cluster. The features are spectral, temporal, tonal but also describe loudness and danceability. The features were selected previously according to experiments on our annotated databases. The SVM is optimized using a grid search algorithm.
منابع مشابه
Audio Mood Classification Using Support Vectormachine
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تاریخ انتشار 2007