Open AccessModification of notes recognition algorithm with a sharp change of the pitch frequency
Author(s) -
Alexey Yakimuk,
E. S. Kataeva,
Michael Naumovich Golovchiner
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1680/1/012055
Subject(s) - vibrato , smoothing , noise (video) , tone (literature) , speech recognition , signal (programming language) , series (stratigraphy) , mathematics , acoustics , algorithm , computer science , statistics , artificial intelligence , physics , singing , art , paleontology , literature , programming language , image (mathematics) , biology
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.