Algorithms of segmentation of speech signal on the correlated noise background

Algorithms of segmentation based on formant and antiformant assessments are considered in the article. An algorithm for speech segmentation using momentary functions of third and fourth order is obtained. It is proposed to use digital filtering based on the sliding-average autoregressive model to su...

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Bibliographic Details
Main Author: Sergey Omelchenko
Format: Article
Language:English
Published: PC Technology Center 2018-04-01
Series:ScienceRise
Subjects:
Online Access:http://journals.uran.ua/sciencerise/article/view/129703
Description
Summary:Algorithms of segmentation based on formant and antiformant assessments are considered in the article. An algorithm for speech segmentation using momentary functions of third and fourth order is obtained. It is proposed to use digital filtering based on the sliding-average autoregressive model to suppress correlated noise. Estimates of variance in estimating the time boundaries of words for a number of proposed speech segmentation algorithms are obtained
ISSN:2313-6286
2313-8416