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Modification of notes recognition algorithm with a sharp change of the pitch frequency

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Published under licence by IOP Publishing Ltd
, , Citation A Yu Yakimuk et al 2020 J. Phys.: Conf. Ser. 1680 012055 DOI 10.1088/1742-6596/1680/1/012055

1742-6596/1680/1/012055

Abstract

The paper presents the results of signal processing using the simplest methods of time series analysis to localize the main note in the presence of vibrato or ascending / descending glissando. The idea of using smoothing to find the vibrato effect is to evaluate segments of the speech signal, within which it was not possible to identify the note. Data on frequencies in this segment are averaged to localize the main note, relative to which the deviation in sound and the frequency of changes are determined in percentage terms. If the deviation from the main note is more than half a tone, the frequencies are perceived as noise.

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10.1088/1742-6596/1680/1/012055