Refinement Strategies for Music Synchronization
Identifieur interne : 000542 ( Main/Exploration ); précédent : 000541; suivant : 000543Refinement Strategies for Music Synchronization
Auteurs : Sebastian Ewert [Allemagne] ; Meinard Müller [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
English descriptors
- Teeft :
- Algorithm, Alignment, Alignment path, Annotation, Annotation midi, Audio, Audio recording, Audio recordings, Burg2, Cchroma, Cdlnco, Chroma, Chroma features, Chroma level, Chroma representation, Constraint region, Cost matrices, Cost matrix, Database, Density function, Distortion range, Dlnco, Dlnco features, Dlnco msdtw chroma, Energy increase, Ewert, Example burg2, Feature resolution, Feature sequence, Feature sequences, Interpolation, Ismir, Kurth, Lnco, Local maxima, Matrix, Midi, Midi version, Msdtw, Multiscale, Music data streams, Music database, Music representations, Music synchronization, Musical work, Note onset times, Note onsets, Onset feature, Onset features, Onset information, Onset representation, Other feature sequence, Piano pieces, Pitch band, Polyphonic, Proc, Robust, Robustness, Sect, Smooth interpolation, Standard deviation, Statistical values, Synchronization, Synchronization accuracy, Synchronization procedure, Synchronization procedures, Synchronization result, Temporal accuracy, Temporal resolution, Time position, Time ranges.
Abstract
Abstract: For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.
Url:
DOI: 10.1007/978-3-642-02518-1_10
Affiliations:
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Le document en format XML
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<term>Music data streams</term>
<term>Music database</term>
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<term>Music synchronization</term>
<term>Musical work</term>
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<term>Note onsets</term>
<term>Onset feature</term>
<term>Onset features</term>
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<term>Standard deviation</term>
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<front><div type="abstract" xml:lang="en">Abstract: For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.</div>
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