The speech signal segmentation algorithm using pitch synchronous analysis

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Parameterization of the speech signal using the algorithms of analysis synchronized with the pitch frequency is discussed. Speech parameterization is performed by the average number of zero transitions function and the signal energy function. Parameterization results are used to segment the speech signal and to isolate the segments with stable spectral characteristics. Segmentation results can be used to generate a digital voice pattern of a person or be applied in the automatic speech recognition. Stages needed for continuous speech segmentation are described.
Publisher
DE GRUYTER OPEN LTD
Issue Date
2017-02
Language
English
Article Type
Article
Citation

OPEN COMPUTER SCIENCE, v.7, no.1, pp.1 - 8

ISSN
2299-1093
DOI
10.1515/comp-2017-0001
URI
http://hdl.handle.net/10203/224905
Appears in Collection
EE-Journal Papers(저널논문)
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