Efficient methods for joint estimation of multiple fundamental frequencies in music signals
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http://hdl.handle.net/10045/25106
Título: | Efficient methods for joint estimation of multiple fundamental frequencies in music signals |
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Autor/es: | Pertusa, Antonio | Iñesta, José M. |
Grupo/s de investigación o GITE: | Reconocimiento de Formas e Inteligencia Artificial |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Multiple fundamental frequency | Music signals | Estimation |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 14-feb-2012 |
Editor: | Springer |
Cita bibliográfica: | PERTUSA, Antonio; IÑESTA, José M. “Efficient methods for joint estimation of multiple fundamental frequencies in music signals”. EURASIP Journal on Advances in Signal Processing 2012, 2012:27. ISSN 1687-6172, 13 p. |
Resumen: | This study presents efficient techniques for multiple fundamental frequency estimation in music signals. The proposed methodology can infer harmonic patterns from a mixture considering interactions with other sources and evaluate them in a joint estimation scheme. For this purpose, a set of fundamental frequency candidates are first selected at each frame, and several hypothetical combinations of them are generated. Combinations are independently evaluated, and the most likely is selected taking into account the intensity and spectral smoothness of its inferred patterns. The method is extended considering adjacent frames in order to smooth the detection in time, and a pitch tracking stage is finally performed to increase the temporal coherence. The proposed algorithms were evaluated in MIREX contests yielding state of the art results with a very low computational burden. |
Patrocinador/es: | This study was supported by the project DRIMS (code TIN2009-14247-C02), the Consolider Ingenio 2010 research programme (project MIPRCV, CSD2007-00018), and the PASCAL2 Network of Excellence, IST-2007-216886. |
URI: | http://hdl.handle.net/10045/25106 |
ISSN: | 1687-6172 (Print) | 1687-6180 (Online) |
DOI: | 10.1186/1687-6180-2012-27 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2012 Pertusa and Iñesta; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1186/1687-6180-2012-27 |
Aparece en las colecciones: | Investigaciones financiadas por la UE INV - GRFIA - Artículos de Revistas |
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