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Multipitch estimation of quasi-harmonic sounds in colored noise

Abstract : This paper proposes a new multipitch estimator based on a likelihood maximization principle. For each tone, a sinusoidal model is assumed with a colored, Moving-Average, background noise and an autoregressive spectral envelope for the overtones. A monopitch estimator is derived following a Weighted Maximum Likelihood principle and leads to find the fundamental frequency (F0 ) which jointly maximally flattens the noise spectrum and the sinusoidal spectrum. The multipitch estimator is obtained by extending the method for jointly estimating multiple F0 's. An application to piano tones is presented, which takes into account the inharmonicity of the overtone series for this instrument.
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https://hal.inria.fr/inria-00545615
Contributor : Valentin Emiya <>
Submitted on : Friday, December 10, 2010 - 5:46:01 PM
Last modification on : Tuesday, December 8, 2020 - 10:21:50 AM
Long-term archiving on: : Friday, March 11, 2011 - 2:33:00 AM

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Valentin Emiya, Roland Badeau, Bertrand David. Multipitch estimation of quasi-harmonic sounds in colored noise. 10th Int. Conf. on Digital Audio Effects (DAFx-07), Sep 2007, Bordeaux, France. ⟨inria-00545615⟩

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