2016 24th European Signal Processing Conference (EUSIPCO) 2016
DOI: 10.1109/eusipco.2016.7760395
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Multi-pitch estimation of audio recordings using a codebook-based approach

Abstract: In this paper, a method for multi-pitch estimation of singlechannel mixtures of harmonic signals is presented. Using the method, it is possible to resolve amplitudes of overlapping harmonics, which is otherwise an ill-posed problem. The method is based on the extended invariance principle (EXIP), and a codebook consisting of realistic amplitude vectors. A nonlinear least squares (NLS) cost function is formed based on the observed signal and a parametric model of the signal, for a set of fundamental frequency c… Show more

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Cited by 2 publications
(3 citation statements)
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“…In this paper, a method for joint multi-pitch and model order estimation of delay and amplitude panned mixtures of harmonic sources has been proposed. The method presented here extends the work in [14] and [13], where stereophonic mixtures of monophonic sources, and single-channel multipitch mixtures were considered, respectively. The proposed method is based on a signal model that takes the panning parameters of a mixture into account.…”
Section: Discussionmentioning
confidence: 80%
See 2 more Smart Citations
“…In this paper, a method for joint multi-pitch and model order estimation of delay and amplitude panned mixtures of harmonic sources has been proposed. The method presented here extends the work in [14] and [13], where stereophonic mixtures of monophonic sources, and single-channel multipitch mixtures were considered, respectively. The proposed method is based on a signal model that takes the panning parameters of a mixture into account.…”
Section: Discussionmentioning
confidence: 80%
“…The data used is single-channel, i.e, K = 1, and the number of sources is M = 2. This type of evaluation is similar to the one in [13], however, here the pitch is estimated jointly with the model order. The metric used is similar to the one used in the first experiment.…”
Section: Methodsmentioning
confidence: 99%
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