Modification of entropy-based algorithm for determining words boundaries in noisy conditions

A modification of the algorithm for finding word boundaries in continuous speech based on an analysis of the entropy of a speech signal is described. At the preprocessing stage, the signal is divided into frames; the entropy value is calculated for each frame and compared with the threshold value of...

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मुख्य लेखकों:	Karpov, A. S., Карпов, А. С., Drozdova, V. I., Дроздова, В. И., Shagrova, G. V., Шагрова, Г. В., Romanenko, M. G., Романенко, М. Г.
स्वरूप:	Статья
भाषा:	English
प्रकाशित:	Institute of Physics Publishing 2020
विषय:	Entropy-based algorithm Determining words Boundaries in noisy conditions Modification of entropy-based algorithm
ऑनलाइन पहुंच:	https://dspace.ncfu.ru/handle/20.500.12258/13727
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id	ir-20.500.12258-13727
record_format	dspace
spelling	ir-20.500.12258-137272020-09-02T12:14:31Z Modification of entropy-based algorithm for determining words boundaries in noisy conditions Karpov, A. S. Карпов, А. С. Drozdova, V. I. Дроздова, В. И. Shagrova, G. V. Шагрова, Г. В. Romanenko, M. G. Романенко, М. Г. Entropy-based algorithm Determining words Boundaries in noisy conditions Modification of entropy-based algorithm A modification of the algorithm for finding word boundaries in continuous speech based on an analysis of the entropy of a speech signal is described. At the preprocessing stage, the signal is divided into frames; the entropy value is calculated for each frame and compared with the threshold value of the entropy γ. The algorithm is carried out in two stages, first a rough and then more precise definition of the word boundaries is made. At each stage, its own minimum distance between words is used. A modification is proposed, which consists in the fact that the entropy threshold γ is determined on the basis of the calculated SNR coefficient taking into account the experimental selection of signal parameters at the stage of precise determination of word boundaries in a noisy speech signal. Checking the functionality of the modified algorithm on noisy signals has shown that taking into account the effect of SNR on the selection of signal parameters increases the accuracy of word boundary determination 2020-09-02T12:12:04Z 2020-09-02T12:12:04Z 2020 Статья Karpov, A.S., Drozdova, V.I., Shagrova, G.V., Romanenko, M.G. Modification of entropy-based algorithm for determining words boundaries in noisy conditions // IOP Conference Series: Materials Science and Engineering. - 2020. - Volume 873. - Issue 1. - Номер статьи 012011 http://hdl.handle.net/20.500.12258/13727 en IOP Conference Series: Materials Science and Engineering application/pdf Institute of Physics Publishing
institution	СКФУ
collection	Репозиторий
language	English
topic	Entropy-based algorithm Determining words Boundaries in noisy conditions Modification of entropy-based algorithm
spellingShingle	Entropy-based algorithm Determining words Boundaries in noisy conditions Modification of entropy-based algorithm Karpov, A. S. Карпов, А. С. Drozdova, V. I. Дроздова, В. И. Shagrova, G. V. Шагрова, Г. В. Romanenko, M. G. Романенко, М. Г. Modification of entropy-based algorithm for determining words boundaries in noisy conditions
description	A modification of the algorithm for finding word boundaries in continuous speech based on an analysis of the entropy of a speech signal is described. At the preprocessing stage, the signal is divided into frames; the entropy value is calculated for each frame and compared with the threshold value of the entropy γ. The algorithm is carried out in two stages, first a rough and then more precise definition of the word boundaries is made. At each stage, its own minimum distance between words is used. A modification is proposed, which consists in the fact that the entropy threshold γ is determined on the basis of the calculated SNR coefficient taking into account the experimental selection of signal parameters at the stage of precise determination of word boundaries in a noisy speech signal. Checking the functionality of the modified algorithm on noisy signals has shown that taking into account the effect of SNR on the selection of signal parameters increases the accuracy of word boundary determination
format	Статья
author	Karpov, A. S. Карпов, А. С. Drozdova, V. I. Дроздова, В. И. Shagrova, G. V. Шагрова, Г. В. Romanenko, M. G. Романенко, М. Г.
author_facet	Karpov, A. S. Карпов, А. С. Drozdova, V. I. Дроздова, В. И. Shagrova, G. V. Шагрова, Г. В. Romanenko, M. G. Романенко, М. Г.
author_sort	Karpov, A. S.
title	Modification of entropy-based algorithm for determining words boundaries in noisy conditions
title_short	Modification of entropy-based algorithm for determining words boundaries in noisy conditions
title_full	Modification of entropy-based algorithm for determining words boundaries in noisy conditions
title_fullStr	Modification of entropy-based algorithm for determining words boundaries in noisy conditions
title_full_unstemmed	Modification of entropy-based algorithm for determining words boundaries in noisy conditions
title_sort	modification of entropy-based algorithm for determining words boundaries in noisy conditions
publisher	Institute of Physics Publishing
publishDate	2020
url	https://dspace.ncfu.ru/handle/20.500.12258/13727
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Modification of entropy-based algorithm for determining words boundaries in noisy conditions

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