PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS

The aim of the study is to substantiate the physiological approach to spectral analysis-synthesis of the speech signal (RS), which involves taking into account the biometric parameters unique for each person due to the physical nature of his speech-forming tract, necessary for solving the problems o...

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Main Authors: Mikhail V. Alyushin, Alexander M. Alyushin, Sergey V. Dvoryankin, Nikita S. Dvoryankin
Format: Article
Language:English
Published: Joint Stock Company "Experimental Scientific and Production Association SPELS 2025-05-01
Series:Безопасность информационных технологий
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Online Access:https://bit.spels.ru/index.php/bit/article/view/1780
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author Mikhail V. Alyushin
Alexander M. Alyushin
Sergey V. Dvoryankin
Nikita S. Dvoryankin
author_facet Mikhail V. Alyushin
Alexander M. Alyushin
Sergey V. Dvoryankin
Nikita S. Dvoryankin
author_sort Mikhail V. Alyushin
collection DOAJ
description The aim of the study is to substantiate the physiological approach to spectral analysis-synthesis of the speech signal (RS), which involves taking into account the biometric parameters unique for each person due to the physical nature of his speech-forming tract, necessary for solving the problems of protection of speech information (SI) from falsification and forgery, as well as for restoration of speech intelligibility (RS) at distorted areas of voice interfaces. The main groups of physical parameters of the human articulatory system used for this purpose are highlighted. The influence of the time-varying shape of the envelope of the harmonic components of the RS on the obtained frequency resolution when performing a short-time Fourier transform (STFT or CPF) with a Gaussian weighting window is analyzed. A comparison of the resolution of the Fourier transform with a Gaussian window for spectral analysis-synthesis of sinusoidal signals with different envelope functions is presented. The possibility of application of the obtained results for reconstruction of the harmonic structure of distorted parts of speech vocalizations (SVs) is shown.
format Article
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institution Kabale University
issn 2074-7128
2074-7136
language English
publishDate 2025-05-01
publisher Joint Stock Company "Experimental Scientific and Production Association SPELS
record_format Article
series Безопасность информационных технологий
spelling doaj-art-d0a3195bf7094fe0a1ebda9db71bac142025-08-20T03:24:51ZengJoint Stock Company "Experimental Scientific and Production Association SPELSБезопасность информационных технологий2074-71282074-71362025-05-01322324710.26583/bit.2025.2.031461PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONSMikhail V. Alyushin0Alexander M. Alyushin1Sergey V. Dvoryankin2Nikita S. Dvoryankin3National Nuclear Research University MEPHI (Moscow Engineering Physics Institute)National Nuclear Research University MEPHI (Moscow Engineering Physics Institute); Moscow State Linguistic UniversityNational Nuclear Research University MEPHI (Moscow Engineering Physics Institute); Moscow State Linguistic UniversityNational Nuclear Research University MEPHI (Moscow Engineering Physics Institute)The aim of the study is to substantiate the physiological approach to spectral analysis-synthesis of the speech signal (RS), which involves taking into account the biometric parameters unique for each person due to the physical nature of his speech-forming tract, necessary for solving the problems of protection of speech information (SI) from falsification and forgery, as well as for restoration of speech intelligibility (RS) at distorted areas of voice interfaces. The main groups of physical parameters of the human articulatory system used for this purpose are highlighted. The influence of the time-varying shape of the envelope of the harmonic components of the RS on the obtained frequency resolution when performing a short-time Fourier transform (STFT or CPF) with a Gaussian weighting window is analyzed. A comparison of the resolution of the Fourier transform with a Gaussian window for spectral analysis-synthesis of sinusoidal signals with different envelope functions is presented. The possibility of application of the obtained results for reconstruction of the harmonic structure of distorted parts of speech vocalizations (SVs) is shown.https://bit.spels.ru/index.php/bit/article/view/1780spectral analysis-synthesis, speech information protection, speech signal reconstruction, speech intelligibility restoration, speech vocalizations.
spellingShingle Mikhail V. Alyushin
Alexander M. Alyushin
Sergey V. Dvoryankin
Nikita S. Dvoryankin
PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
Безопасность информационных технологий
spectral analysis-synthesis, speech information protection, speech signal reconstruction, speech intelligibility restoration, speech vocalizations.
title PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
title_full PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
title_fullStr PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
title_full_unstemmed PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
title_short PHYSIOLOGICAL ASPECTS FOR SONOGRAMS BUILDING AND SPECTRUM RESTORE DISTORTED SPEECH VOCALIZATIONS
title_sort physiological aspects for sonograms building and spectrum restore distorted speech vocalizations
topic spectral analysis-synthesis, speech information protection, speech signal reconstruction, speech intelligibility restoration, speech vocalizations.
url https://bit.spels.ru/index.php/bit/article/view/1780
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AT alexandermalyushin physiologicalaspectsforsonogramsbuildingandspectrumrestoredistortedspeechvocalizations
AT sergeyvdvoryankin physiologicalaspectsforsonogramsbuildingandspectrumrestoredistortedspeechvocalizations
AT nikitasdvoryankin physiologicalaspectsforsonogramsbuildingandspectrumrestoredistortedspeechvocalizations