Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs

The paper considers the estimation of the parameters of auto­regressive model at additive white noise background. The principle of maximum likelihood is used for this purpose. The main goal is to find the maximum of likelihood function depending on parameters of autoregressive model. Representation...

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Дата:2018
Автор: Semenov, Vasyl
Формат: Стаття
Мова:English
Опубліковано: Кам'янець-Подільський національний університет імені Івана Огієнка 2018
Онлайн доступ:http://mcm-math.kpnu.edu.ua/article/view/159392
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Назва журналу:Mathematical and computer modelling. Series: Physical and mathematical sciences

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Mathematical and computer modelling. Series: Physical and mathematical sciences
id mcm-mathkpnueduua-article-159392
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spelling mcm-mathkpnueduua-article-1593922019-03-13T10:33:12Z Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs Semenov, Vasyl The paper considers the estimation of the parameters of auto­regressive model at additive white noise background. The principle of maximum likelihood is used for this purpose. The main goal is to find the maximum of likelihood function depending on parameters of autoregressive model. Representation of likelihood function through line spectrum pairs and other alternative parameters is presented. This provided possibility of likelihood function maximization by KNITRO algorithm. The presence of multiple local minima of the considered likelihood function is shown. Experimental results including the comparison with widely used expectation-maximization (EM) method are presented for the real speech signals. Кам'янець-Подільський національний університет імені Івана Огієнка 2018-11-23 Article Article Рецензована Стаття application/pdf http://mcm-math.kpnu.edu.ua/article/view/159392 10.32626/2308-5878.2018-18.135-145 Mathematical and computer modelling. Series: Physical and mathematical sciences; 2018: Mathematical and computer modelling. Series: Physical and mathematical sciences. Issue 18; 135-145 Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки; 2018: Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки. Випуск 18; 135-145 2308-5878 10.32626/2308-5878.2018-18 en http://mcm-math.kpnu.edu.ua/article/view/159392/158662 Авторське право (c) 2021 Vasyl Semenov
institution Mathematical and computer modelling. Series: Physical and mathematical sciences
collection OJS
language English
format Article
author Semenov, Vasyl
spellingShingle Semenov, Vasyl
Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
author_facet Semenov, Vasyl
author_sort Semenov, Vasyl
title Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
title_short Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
title_full Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
title_fullStr Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
title_full_unstemmed Method for the Maximization of the Likelihood Function of Speech Autoregressive Parameters Based on Line Spectrum Pairs
title_sort method for the maximization of the likelihood function of speech autoregressive parameters based on line spectrum pairs
description The paper considers the estimation of the parameters of auto­regressive model at additive white noise background. The principle of maximum likelihood is used for this purpose. The main goal is to find the maximum of likelihood function depending on parameters of autoregressive model. Representation of likelihood function through line spectrum pairs and other alternative parameters is presented. This provided possibility of likelihood function maximization by KNITRO algorithm. The presence of multiple local minima of the considered likelihood function is shown. Experimental results including the comparison with widely used expectation-maximization (EM) method are presented for the real speech signals.
publisher Кам'янець-Подільський національний університет імені Івана Огієнка
publishDate 2018
url http://mcm-math.kpnu.edu.ua/article/view/159392
work_keys_str_mv AT semenovvasyl methodforthemaximizationofthelikelihoodfunctionofspeechautoregressiveparametersbasedonlinespectrumpairs
first_indexed 2024-04-21T19:24:28Z
last_indexed 2024-04-21T19:24:28Z
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