Novelty Detection for Spectral Similarity of Songs

نویسندگان

  • Arthur Flexer
  • Gerhard Widmer
چکیده

We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection are evaluated within the context of genre classification based on spectral similarity. Both the method based solely on the similarity information and the one also utilizing genre label information perform equally well.

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تاریخ انتشار 2005