E. Pampalk, A. Rauber, and D. Merkl. Content-based organization and visualization of music archives. In Proc. ACM Multimedia, pages 570--579, 2002. Home/Search Document Details and Download
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Content-Based Organization of Digital Audio Collections - Neumayer, Lidy, Rauber (2005) Self-citation (Rauber) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Content-based organization and visualization of music archives. In Proceedings of ACM Multimedia 2002, pages 570--579, Juan-les-Pins, France, December 1-6 2002.
Aligned Self-Organizing Maps - Pampalk (2003) (1 citation) Self-citation (Pampalk) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Contentbased organization and visualization of music archives. In Proc ACM Multimedia, Juan les Pins, France, 2002.
A New Approach to Hierarchical Clustering and Structuring.. - Pampalk, Widmer, Chan (2003) (1 citation) Self-citation (Pampalk) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Content-based Organization and Visualization of Music Archives. In Proceedings of the ACM Multimedia 2002.
On the Evaluation of Perceptual Similarity Measures for Music - Pampalk, Dixon, Widmer (2003) (4 citations) Self-citation (Pampalk) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl, "Content-based organization and visualization of music archives," in Proc ACM Multimedia, Juan les Pins, France, 2002.
Visualizing Changes in the Structure of Data for.. - Pampalk, Goebl, Widmer (2003) Self-citation (Pampalk) (Correct)
....data. 5. 2 Exploring Music Archives The second application is part of the project Islands of Music whose goal is to create intuitive interfaces to digital libraries of music by automatically analyzing, organizing, and visualizing pieces of music based on their perceived acoustic similarities [26, 27]. The Islands of Music are calculated using the SOM with a SDH visualization and a specific color scale. Similar pieces are located close to each other on the map. The resulting clusters are visualized as islands. Subclusters within clusters are visualized as mountains and hills. A parameter ....
....to calculate music similarities are based on Mel Frequency Cepstrum Coe#cients (MFCCs) e.g. 24, 5, 7] The MFCCs describe sound characteristics in terms of frequency band and energy at a specific point in time and are used to model the timbre. In our previous work we presented rhythm patterns [26, 27] to calculate similarities. The rhythm patterns capture dynamic characteristics in the loudness modulation of specific frequency bands based on psychoacoustic models [37] Instead of defining a specific way to calculate the similarity between two pieces of music, we are developing interfaces ....
E. Pampalk, A. Rauber, and D. Merkl. Content-based Organization and Visualization of Music Archives. In Proceedings of the ACM Multimedia, Juan les Pins, France, 2002.
Using Psycho-Acoustic Models and Self-Organizing Maps To.. - Rauber, Pampalk, Merkl (2002) (2 citations) Self-citation (Pampalk Rauber Merkl) (Correct)
....around 4Hz are emphasized. Yet, there are no clear vertical lines, as there are no periodic beats. On the other hand, note the strong beat of around 7Hz in all frequency bands of Freak on a Leash. For an in depth discussion of the characteristics of the feature extraction process, please refer to [23, 24]. 4. HIERARCHICAL DATA CLUSTERING Using the rhythm patterns we apply the Self Organizing Map (SOM ) 13] as well as its extension, the Growing Hierarchical Self Organizing Map (GHSOM ) 6] algorithm to organize the pieces of music on a 2 dimensional map display in such a way that similar pieces ....
....of music, to provide an intuitive interface to music archives. Furthermore, attribute aggregates are used to create Weather charts that help the user to understand the sound characteristics of the various areas on the map. For a detailed discussion and evaluation of these visualizations, see [24]. 5. EXPERIMENTS In the following sections we present some experimental results of our system based on a music archive made up of MP3 compressed files of popular pieces of music from a variety of genres. Specifically, we present in more detail the organization of a small subset of the entire ....
E. Pampalk, A. Rauber, and D. Merkl. Content-based organization and visualization of music archives. In Proc of ACM Multimedia 2002.
Understandable Models Of Music Collections Based On - Exhaustive Feature Generation (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Content-based organization and visualization of music archives. In Proc. ACM Multimedia, pages 570--579, 2002.
SEMISH XXXIII Seminrio Integrado de Software e Hardware l - De Julho De (2006) (Correct)
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Pampalk, E., Rauber, A., and Merkl, D. (2002). Content--based organization and visualization of music archives. In ACM Multimedia 2002, pages 570--579, Juan-les-Pins, France.
Sonixplorer: - Combining Visualization And (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Contentbased Organization and Visualization of Music Archives. In Proc. ACM Multimedia, Juan les Pins, France, 2002.
Sonixplorer: Combining Visualization And Auralization for.. - Lübbers (2005) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Contentbased Organization and Visualization of Music Archives. In Proc. ACM Multimedia, Juan les Pins, France, 2002.
Automatic Classification of Audio Data - Costa, Jr., Koerich (2004) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Content--based organization and visualization of music archives. In ACM International Conference on Multimedia, 2002.
An Explorative, Hierarchical User Interface to Structured Music.. - Schedl (2003) (Correct)
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E. Pampalk, A. Rauber, and D. Merkl. Content-based Organization and Visualization of Music Archives. In Proceedings of the Association for Computing Machinery (ACM) Multimedia, pages 570-- 579, Juan les Pins, France, December 2002. ACM.
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