Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition

Barkovska, O. Yu.; Havrashenko, A. O.

Публікація:
Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition

dc.contributor.author	Barkovska, O. Yu.
dc.contributor.author	Havrashenko, A. O.
dc.date.accessioned	2024-10-16T13:56:25Z
dc.date.available	2024-10-16T13:56:25Z
dc.date.issued	2023
dc.description.abstract	In the course of the work, the best sequence of stages of pre-processing audio data was selected for use in further training of the neural network for different ways to convert signals into features. Mel-cepstral characteristic coefficients are better suited for solving our problem. Since the neural network strongly depends on its structure, the results may change with the increase in the volume of input data and the number of languages. But at this stage, it was decided to use only mel-cepstral characteristic coefficients with normalization.
dc.identifier.citation	Barkovska O. Yu. Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition / O. Yu. Barkovska, A. O. Havrashenko // Сучасний стан наукових досліджень та технологій в промисловості. – 2023. – № 4(26). – С. 16–23. – DOI: https://doi.org/10.30837/ITSSI.2023.26.016.
dc.identifier.doi	https://doi.org/10.30837/ITSSI.2023.26.016
dc.identifier.uri	https://openarchive.nure.ua/handle/document/29040
dc.language.iso	en
dc.publisher	ХНУРЕ
dc.subject	mel-cepstral characteristic coefficients
dc.subject	spectrogram
dc.subject	time mask
dc.subject	frequency mask
dc.subject	neural network
dc.subject	voice
dc.subject	audio series
dc.title	Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition
dc.type	Article
dspace.entity.type	Publication