Título:
ChordSync : Conformer-based alignment of chord annotations to music audio.
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Poltronieri, Andrea
Presutti, Valentina
Rocamora, Martín
Presutti, Valentina
Rocamora, Martín
Tutor:
Tipo de documento:
Ponencia
Editor:
Palabras clave:
Descriptores:
MUSICA
ARMONIA
ARMONIA
Año de publicación:
2024
Contenido:
Resumen:
In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need more diversity. One way to improve those resources is to leverage the large number of chord annotations available online, but this requires aligning them with music audio. However, existing audio-to-score alignment techniques, which typically rely on Dynamic Time Warping (DTW), fail to address this challenge, as they require weakly aligned data for precise synchronisation. In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment. We also provide a pre-trained model and a user-friendly library, enabling users to synchronise chord annotations with audio tracks effortlessly. In this way, ChordSync creates opportunities for harnessing crowd-sourced chord data for MIR, especially in audio chord estimation, thereby facilitating the generation of novel datasets. Additionally, our system extends its utility to music education, enhancing music learning experiences by providing accurately aligned annotations, thus enabling learners to engage in synchronised musical practices.
Descripción:
metadata.articulos.dc.description.uri:
Editorial:
SMC
EN:
Sound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.
Financiadores:
Este proyecto ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención no 101004746
Citación:
Poltronieri, A., Presutti, V. y Rocamora, M. ChordSync : Conformer-based alignment of chord annotations to music audio [en línea]. EN: Sound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.
Citación:
metadata.articulos.cc.license.name:
ISBN:
e-ISBN:
ISSN:
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Grupo de investigación:
Licencia:
Licencia Creative Commons Atribución (CC - By 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| PPR24.pdf | Versión publicada | 1.23 MB | Adobe PDF |