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Matches in ScholarlyData for { ?s ?p ?o. }

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• item-1 hasContent martin-haro.
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• item-2 hasContent joan-serra.
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• item-3 hasContent alvaro-corral.
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• item-4 hasContent perfecto-herrera.
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• 6 creator emilia-gomez.
• 6 creator joan-serra.
• 6 creator justin-salamon.
• 6 type InProceedings.
• 6 label "Melody, Bassline and Harmony Representations for Music Version Identification".
• 6 sameAs 6.
• 6 abstract "In this paper we compare the use of different musical representations for the task of version identification (i.e.~retrieving alternative performances of the same musical piece). We automatically compute descriptors representing the melody and bass line using a state-of-the-art melody extraction algorithm, and compare them to a harmony-based descriptor. The similarity of descriptor sequences is computed using a dynamic programming algorithm based on nonlinear time series analysis which has been successfully used for version identification with harmony descriptors. After evaluating the accuracy of individual descriptors, we assess whether performance can be improved by descriptor fusion, for which we apply a classification approach, comparing different classification algorithms. We show that both melody and bass line descriptors carry useful information for version identification, and that combining them increases version detection accuracy. Whilst harmony remains the most reliable musical representation for version identification, we demonstrate how in some cases performance can be improved by combining it with melody and bass line descriptions. Finally, we identify some of the limitations of the proposed descriptor fusion approach, and discuss directions for future research.".
• 6 hasAuthorList authorList.
• 6 isPartOf proceedings.
• 6 keyword "Version identification".
• 6 keyword "bassline".
• 6 keyword "cover song detection".
• 6 keyword "harmony".
• 6 keyword "melody extraction".
• 6 keyword "music retrieval".
• 6 keyword "music similarity".
• 6 title "Melody, Bassline and Harmony Representations for Music Version Identification".
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• item-1 hasContent justin-salamon.
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• item-2 hasContent joan-serra.
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• item-3 hasContent emilia-gomez.
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• 9 creator daniel-wolff.
• 9 creator tillman-weyde.
• 9 type InProceedings.
• 9 label "Adapting Similarity on the MagnaTagATune Dataset: Effects of Model and Feature Choices".
• 9 sameAs 9.
• 9 abstract "This work builds on and responds to previous publications on adaptation of similarity measures to user voting data from the MagnaTagATune dataset. The similarity dataset presented by Stober and Nürnberger at AMR 2011 has been reproduced to test other approaches in a comparable way. On this set, we compare their two-level approach, defining similarity measures on individual facets and combining them in a linear model, to the Metric Learning to Rank (MLR) algorithm which adapts a measure that operates directly on low-level features. We compare the different algorithms, features and parameter spaces with regards to minimising constraint violations. Furthermore, the effectiveness of the MLR algorithm in generalising over unknown similarity data is evaluated on this dataset. We explore the effects of feature choice. Here, we found that the binary genre data showed little correlation with the similarity data, but combined with audio features it clearly improved generalisation.".
• 9 hasAuthorList authorList.
• 9 isPartOf proceedings.
• 9 keyword "context-based retrieval".
• 9 keyword "feature".
• 9 keyword "music information retrieval".
• 9 keyword "music similarity measures".
• 9 keyword "similarity adaptation".
• 9 title "Adapting Similarity on the MagnaTagATune Dataset: Effects of Model and Feature Choices".
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• item-1 hasContent daniel-wolff.
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• item-2 hasContent tillman-weyde.
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• item-1 hasContent christian-bizer.
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• item-2 hasContent andreas-schultz.
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• authorList type List.
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• item-1 hasContent gianluca-correndo.
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• item-2 type ListItem.
• item-2 hasContent manuel-salvadores.
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• item-2 previous item-1.

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