Automatic music genre classification is the classification of a piece of music into its corresponding genre (such as jazz or rock) by a computer. It is considered to be a cornerstone of the research...
Music Genre Classification Systems - A Computational Approach (2006)
Automatic music genre classification is the classification of a piece of music into its corresponding genre (such as jazz or rock) by a computer. It is considered to be a cornerstone of the research...
Temporal Feature Integration for Music Genre Classification (2006)
Meng, Anders, Ahrendt, Peter, Larsen, Jan, Hansen, Lars Kai
Temporal feature integration is the process of combining all the feature vectors in a time frame into a single feature vector in order to capture the relevant temporal information in the frame. The...
Co-occurrence Models in Music Genre Classification (2005)
Ahrendt, Peter, Goutte, Cyril, Larsen, Jan
Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors x_r which only represent the short time segment with...
Co-occurrence models in music genre classification (2005)
Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors xr which only represent the short time segment with...
Improving music genre classification by short-time feature integration (2005)
Anders Meng, Peter Ahrendt, Jan Larsen
Many different short-time features, using time windows in the size of 10-30 ms, have been proposed for music segmentation, retrieval and genre classification. However, often the available time frame...
Co-occurrence models in music genre classification (2005)
Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors xr which only represent the short time segment with...
IMPROVING MUSIC GENRE CLASSIFICATION BY SHORT-TIME FEATURE INTEGRATION (2004)
Meng, Anders, Ahrendt, Peter, Larsen, Jan
Many different short-time features, using time windows in the size of 10-30 ms, have been proposed for music segmentation, retrieval and genre classification. However, often the available time frame...
Decision time horizon for music genre classification using short time features (2004)
Ahrendt, Peter, Meng, Anders, Larsen, Jan
In this paper music genre classification has been explored with special emphasis on the decision time horizon and ranking of tapped-delay-line short-time features. Late information fusion as e.g....
Decision time horizon for music genre classification using short time features (2004)
Peter Ahrendt, Anders Meng, Jan Larsen
In this paper music genre classification has been explored with special emphasis on the decision time horizon and ranking of tappeddelay-line short-time features. Late information fusion as e.g....
Decision time horizon for music genre classification using short time features (2004)
Peter Ahrendt, Anders Meng, Jan Larsen
In this paper music genre classification has been explored with special emphasis on the decision time horizon and ranking of tappeddelay-line short-time features. Late information fusion as e.g....