publication . Preprint . 2009

Inter Genre Similarity Modelling For Automatic Music Genre Classification

Bagci, Ulas; Erzin, Engin;
Open Access English
  • Published: 18 Jul 2009
Abstract
Music genre classification is an essential tool for music information retrieval systems and it has been finding critical applications in various media platforms. Two important problems of the automatic music genre classification are feature extraction and classifier design. This paper investigates inter-genre similarity modelling (IGS) to improve the performance of automatic music genre classification. Inter-genre similarity information is extracted over the mis-classified feature population. Once the inter-genre similarity is modelled, elimination of the inter-genre similarity reduces the inter-genre confusion and improves the identification rates. Inter-genre ...
Subjects
ACM Computing Classification System: ComputingMilieux_PERSONALCOMPUTING
free text keywords: Computer Science - Sound, Computer Science - Artificial Intelligence, Statistics - Machine Learning, H.5.5, I.5
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