Genre Classification Based on Tone Objects
نویسندگان
چکیده
This extended abstract details the submission to the 2013 Music Information Retrieval Evaluation eXchange in the Audio Classification Train/Test task. The proposed system is designed to perform improved genre classification by combining temporal segmentation and source separation of music signals into so-called tone objects. The audio features extracted from these tone objects are low-level and well-known. Gaussian Mixture Models and Support Vector Machines are used for classification. This submission is motivated by promising results obtained on other genre data sets.
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