Towards Reliable Partial Music Alignments Using Multiple Synchronization Strategies
Identifieur interne : 000314 ( Main/Exploration ); précédent : 000313; suivant : 000315Towards Reliable Partial Music Alignments Using Multiple Synchronization Strategies
Auteurs : Sebastian Ewert [Allemagne] ; Meinard Müller [Allemagne] ; Roger B. Dannenberg [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
English descriptors
- Teeft :
- Algorithm, Alignment, Alignment methods, Alignment result, Alignment results, Alignment strategies, Alignment strategy, Anthology release, Audio, Audio recording, Audio recordings, Automatic synchronization, Beatles, Beatles songs, Binary matrices, Boundary condition, Chroma, Chroma features, Computer accompaniment, Consistency alignment, Corresponding area, Cost matrix, Critical passages, Dannenberg, Dynamic programming, Ewert, Exible alignment, Feature vectors, Future work, Global path, Horizontal axis, Ieee icassp, Interesting deviations, Intersection matrix, Ismir, Local cost measure, Local deviations, Markov models, Matrix, Midi, Midi segment, Midi version, Misguided alignments, Monotonic, Multiple information sources, Music alignments, Music data, Music database, Music representations, Music synchronization, Musical work, Negative entries, Negative score, Novel method, Optimal path, Other hand, Overall synchronization result, Polyphonic, Proc, Recursive, Recursive variant, Reliable passages, Saarland university, Same piece, Score alignment, Score matrix, Sect, Several techniques, Several types, Solo segments, Subsequent discussion, Subsequent improvements, Synchronization, Synchronization results, Synchronization strategies, Synchronization task, Various alignments, Vertical axis.
Abstract
Abstract: The general goal of music synchronization is to align multiple information sources related to a given piece of music. This becomes a hard problem when the various representations to be aligned reveal significant differences not only in tempo, instrumentation, or dynamics but also in structure or polyphony. Because of the complexity and diversity of music data, one can not expect to find a universal synchronization algorithm that yields reasonable solutions in all situations. In this paper, we present a novel method that allows for automatically identifying the reliable parts of alignment results. Instead of relying on one single strategy, our idea is to combine several types of conceptually different synchronization strategies within an extensible framework, thus accounting for various musical aspects. Looking for consistencies and inconsistencies across the synchronization results, our method automatically classifies the alignments locally as reliable or critical. Considering only the reliable parts yields a high-precision partial alignment. Moreover, the identification of critical parts is also useful, as they often reveal musically interesting deviations between the versions to be aligned.
Url:
DOI: 10.1007/978-3-642-18449-9_4
Affiliations:
- Allemagne, États-Unis
- District de Cologne, Pennsylvanie, Rhénanie-du-Nord-Westphalie, Sarre (Land)
- Bonn, Pittsburgh, Sarrebruck
- Université Carnegie-Mellon
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001245
- to stream Istex, to step Curation: 001156
- to stream Istex, to step Checkpoint: 000175
- to stream Main, to step Merge: 000314
- to stream Main, to step Curation: 000314
Le document en format XML
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<term>Score matrix</term>
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<term>Synchronization results</term>
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<front><div type="abstract" xml:lang="en">Abstract: The general goal of music synchronization is to align multiple information sources related to a given piece of music. This becomes a hard problem when the various representations to be aligned reveal significant differences not only in tempo, instrumentation, or dynamics but also in structure or polyphony. Because of the complexity and diversity of music data, one can not expect to find a universal synchronization algorithm that yields reasonable solutions in all situations. In this paper, we present a novel method that allows for automatically identifying the reliable parts of alignment results. Instead of relying on one single strategy, our idea is to combine several types of conceptually different synchronization strategies within an extensible framework, thus accounting for various musical aspects. Looking for consistencies and inconsistencies across the synchronization results, our method automatically classifies the alignments locally as reliable or critical. Considering only the reliable parts yields a high-precision partial alignment. Moreover, the identification of critical parts is also useful, as they often reveal musically interesting deviations between the versions to be aligned.</div>
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