Título:
An efficient multi-resolution spectral transform for music analysis
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Autor:
Cancela, Pablo
Rocamora, Martín
López, Ernesto
Rocamora, Martín
López, Ernesto
Tutor:
Tipo de documento:
Ponencia
Editor:
Palabras clave:
Descriptores:
Procesamiento de Señales
Año de publicación:
2009
Contenido:
Resumen:
In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm.
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Descripción:
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Editorial:
ISMIR
EN:
10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009.
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Citación:
Cancela, P, Rocamora, M, López, E. “An efficient multi-resolution spectral transform for music analysis”. Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009.
Citación:
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Procesamiento de Audio
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| CRL09.pdf | — | 1.04 MB | Adobe PDF |