A score identification parallel system based on audio-to-score alignment

Autor:	José Ranilla, Antonio Jesús Muñoz-Montoro, S. García-Galán, Raquel Cortina, Elías F. Combarro
Rok vydání:	2020
Předmět:	Focus (computing) business.industry Computer science Musical Machine learning computer.software_genre Theoretical Computer Science Task (project management) Classical music Identification (information) Hardware and Architecture Artificial intelligence business computer Software Information Systems
Zdroj:	Scopus RUO. Repositorio Institucional de la Universidad de Oviedo instname
ISSN:	1573-0484 0920-8542
DOI:	10.1007/s11227-020-03185-2
Popis:	This paper presents a parallel system for searching a digital score of classical music in a personal library. The application scenario of the system is for a musician who wants to search for a specific score in its own device by playing an excerpt of a few seconds of the composition. We propose a solution, based on audio-to-score alignment, which allows to identify the correct score in a database of musical pieces in real time. This is a challenging task because we focus on a real-time system targeted for handheld devices characterized by both mobility and low power consumption. Experimental results show that it is possible to achieve real-time execution in the tested scenarios using parallel computing techniques with ARM processors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d68e26cfbb8e6d671e66fc6f51c45465 https://doi.org/10.1007/s11227-020-03185-2 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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