Multiple fundamental frequency estimation using Gaussian smoothness
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Título: | Multiple fundamental frequency estimation using Gaussian smoothness |
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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: | Acoustic signal processing | Acoustic signal analysis | Spectral analysis | Gaussian distributions | Acoustic applications |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2008 |
Editor: | IEEE |
Cita bibliográfica: | PERTUSA IBÁÑEZ, Antonio; IÑESTA QUEREDA, José Manuel. "Multiple fundamental frequency estimation using Gaussian smoothness". En: IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP 2008. Piscataway : IEEE, 2008. ISBN 1-4244-1484-9, pp. 105-108 |
Resumen: | The goal of a polyphonic music transcription system is to extract a score from an audio signal. A multiple fundamental frequency estimator is the main piece of these systems, whereas tempo detection and key estimation complement them to correctly extract the score. In this work, in order to detect the fundamental frequencies that are present in a signal, a set of candidates are selected from the spectrum, and all their possible combinations are generated. The best combination is chosen in a frame by frame analysis by applying a set of rules, taking into account the harmonic amplitudes and the spectral smoothness measure described in this work. The system was evaluated and compared to other works, yielding competitive results and performance. |
Patrocinador/es: | This work is supported by the Spanish PROSEMUS project with code TIN2006-14932-C02, the Spanish research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and the Pascal Network of Excellence. |
URI: | http://hdl.handle.net/10045/8628 |
ISBN: | 1-4244-1484-9 | 978-1-4244-1483-3 |
ISSN: | 1520-6149 |
DOI: | 10.1109/ICASSP.2008.4517557 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/bookPart |
Revisión científica: | si |
Aparece en las colecciones: | INV - GRFIA - Capítulos de Libros Investigaciones financiadas por la UE |
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