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In this article, we apply a tandem method for pitch tracking and reestimation proposed by Hu and Wang[7, 14].
As a third method for pitch estimation, this classification approach is also applied in the same way to the ACF.
As a reference method for pitch and DOA estimation, we use the JAFE algorithm proposed in [22] for jointly estimating unconstrained frequencies and DOAs.
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Major contributions: (1) an efficient method for pitch-informed solo/accompaniment separation based on spectral estimation of tone objects.
In this work, we propose an efficient method for pitch-informed solo/accompaniment separation based on a tone-based estimation of the solo instrument and a post-processing stage that addresses transient-like interferences in the solo signals, attack sections, and the use of CAM in the estimation of the harmonic components of a tone.
When the target and interference speakers are either male or female, the methods for pitch frequency estimation encounter large errors because of close pitch frequency values.
One of the oldest methods for pitch estimation is the comb filtering method [21, 22], which is based on the following ideas.
A novel design method for variable pitch cutters is presented.
This paper presents a computationally efficient method for polyphonic pitch estimation.
In this work, a method for the pitch estimation based on classification framework has been designed using a supervised single hidden layer feed-forward neural network.
A steepest rotation method for designing pitch curve with fixed boundaries of noncircular gear is proposed by resorting to calculus of variations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com