Optimal filtering of dynamics in shorttime features for music organization (2008)
Jerónimo Arenas-garcía, Jan Larsen, Lars Kai Hansen, Anders Meng
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Multivariate Analysis and Kernel Methods for Music Data Analysis (2008)
Jerónimo Arenas-garcía, Anders Meng, Kaare Br, T Petersen, Lars Kai Hansen
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single...
Optimal filtering of dynamics in shorttime features for music organization (2008)
Jerónimo Arenas-garcía, Jan Larsen, Lars Kai Hansen, Anders Meng
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Discovering Music Structure via Similarity Fusion (2007)
Arenas-Garcia, Jeronimo, Parrado-Hernandez, Emilio, Meng, Anders, Hansen, Lars Kai, Larsen, Jan
Automatic methods for music navigation and music recommendation exploit the structure in the music to carry out a meaningful exploration of the "song space''. To get a satisfactory performance from...
Discovering music structure via similarity fusion (2007)
Arenas-García, J., Parrado-Hernandez, E., Meng, Anders, Larsen, Jan, Hansen, L.K.
Automatic methods for music navigation and music recommendation exploit the structure in the music to carry out a meaningful exploration of the “song space”. To get a satisfactory performance...
Unveiling Music Structure via PLSA Similarity Fusion (2007)
Arenas-Garcia, Jerónimo, Meng, Anders, Petersen, Kaare B., Lehn-Schioler, Tue, Hansen, Lars K., Larsen, Jan
Nowadays there is an increasing interest in developing methods for building music recommendation systems. In order to get a satisfactory performance from such a system, one needs to incorporate as...
Multivariate Analysis and Kernel Methods for Music Data Analysis (2006)
Arenas-García, Jerónimo, Meng, Anders, Brandt Petersen, Kaare, Kai Hansen, Lars
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Temporal feature integration for Music Organisation (2006)
This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single...
Optimal filtering of dynamics in short-time features for music organization (2006)
Arenas-Garcia, Jeronimo, Larsen, Jan, Kai Hansen, Lars, Meng, Anders
Lately, there has been an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious...
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...
Meng, Anders, Shawe-Taylor, John
In music genre classification the decision time is typically of the order of several seconds however most automatic music genre classification systems focus on short time features derived from...
Shawe-Taylor, John, Meng, Anders
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time features derived from...
Anders Meng, Mathematical Modelling B
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time features derived from 10...
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...
Anders Meng, John Shawe-Taylor
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time features derived from 10 -...
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....