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The Journal of Supercomputing

Erschienen in:

29.01.2018

HReMAS: hybrid real-time musical alignment system

verfasst von: P. Cabañas-Molero, Raquel Cortina-Parajón, E. F. Combarro, Pedro Alonso, F. J. Bris-Peñalver

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2019

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Abstract

This paper presents a real-time audio-to-score alignment system for musical applications. The aim of these systems is to synchronize a live musical performance with its symbolic representation in a music sheet. We have used as a base our previous real-time alignment system by enhancing it with a traceback stage, a stage used in offline alignment to improve the accuracy of the aligned note. This stage introduces some delay, what forces to assume a trade-off between output delay and alignment accuracy that must be considered in the design of this type of hybrid techniques. We have also improved our former system to execute faster in order to minimize this delay. Other interesting improvements, like identification of silence frames, have also been incorporated to our proposed system.

Vorheriger Artikel Computational and mathematical models meet heterogeneous computing

Nächster Artikel HPC optimal parallel communication algorithm for the simulation of fractional-order systems

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Titel: HReMAS: hybrid real-time musical alignment system
verfasst von: P. Cabañas-Molero
Raquel Cortina-Parajón
E. F. Combarro
Pedro Alonso
F. J. Bris-Peñalver
Publikationsdatum: 29.01.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 3/2019
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2265-1

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