Title :
Musical tempo estimation using noise subspace projections
Author :
Alonso, Miguel ; Badeau, Roland ; David, Bertrand ; Richard, Gaël
Author_Institution :
Departement de Traitement du Signal et des Images, Ecole Nat. Superieure des Telecommun., Paris, France
Abstract :
Tempo estimation plays a fundamental role in music analysis, especially for the automatic processing of large amounts of musical data. A novel idea to enhance the estimation of the tempo in musical pieces is described, based on a harmonic/noise decomposition. This separation of the signal into a deterministic and a stochastic part is performed by projecting the signal onto its noise subspace. Besides, the proposed algorithm shares various elements with other tempo estimation methods. On a database composed of 54 excerpts from many musical genres, our algorithm scored a success rate of 96%.
Keywords :
acoustic noise; audio signal processing; harmonic analysis; music; parameter estimation; random noise; audio signal processing; deterministic part; harmonic decomposition; harmonic/noise decomposition; music analysis; musical tempo estimation; noise subspace projections; stochastic part; Databases; Frequency estimation; Image analysis; Instruments; Machine assisted indexing; Multiple signal classification; Rhythm; Signal analysis; Signal processing; Stochastic resonance;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2003 IEEE Workshop on.
Print_ISBN :
0-7803-7850-4
DOI :
10.1109/ASPAA.2003.1285828
