Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies
The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed...
Ausführliche Beschreibung
Autor*in: |
T. P. Kul [verfasserIn] Y. N. Rushkevich [verfasserIn] S. A. Lihachev [verfasserIn] |
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E-Artikel |
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Russisch |
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2019 |
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In: Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki - Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020, (2019), 7, Seite 128-132 |
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year:2019 ; number:7 ; pages:128-132 |
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Katalog-ID: |
DOAJ030866065 |
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(DE-627)DOAJ030866065 (DE-599)DOAJ6f557bd4c64044ecb571179f80b8dc42 DE-627 ger DE-627 rakwb rus TK7800-8360 T. P. Kul verfasserin aut Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. digital signal processing speech signal neurology bulbar syndrome speech disorders Electronics Y. N. Rushkevich verfasserin aut S. A. Lihachev verfasserin aut In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020 (2019), 7, Seite 128-132 (DE-627)1028342136 17297648 nnns year:2019 number:7 pages:128-132 https://doaj.org/article/6f557bd4c64044ecb571179f80b8dc42 kostenfrei https://doklady.bsuir.by/jour/article/view/1055 kostenfrei https://doaj.org/toc/1729-7648 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019 7 128-132 |
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(DE-627)DOAJ030866065 (DE-599)DOAJ6f557bd4c64044ecb571179f80b8dc42 DE-627 ger DE-627 rakwb rus TK7800-8360 T. P. Kul verfasserin aut Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. digital signal processing speech signal neurology bulbar syndrome speech disorders Electronics Y. N. Rushkevich verfasserin aut S. A. Lihachev verfasserin aut In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020 (2019), 7, Seite 128-132 (DE-627)1028342136 17297648 nnns year:2019 number:7 pages:128-132 https://doaj.org/article/6f557bd4c64044ecb571179f80b8dc42 kostenfrei https://doklady.bsuir.by/jour/article/view/1055 kostenfrei https://doaj.org/toc/1729-7648 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019 7 128-132 |
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(DE-627)DOAJ030866065 (DE-599)DOAJ6f557bd4c64044ecb571179f80b8dc42 DE-627 ger DE-627 rakwb rus TK7800-8360 T. P. Kul verfasserin aut Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. digital signal processing speech signal neurology bulbar syndrome speech disorders Electronics Y. N. Rushkevich verfasserin aut S. A. Lihachev verfasserin aut In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020 (2019), 7, Seite 128-132 (DE-627)1028342136 17297648 nnns year:2019 number:7 pages:128-132 https://doaj.org/article/6f557bd4c64044ecb571179f80b8dc42 kostenfrei https://doklady.bsuir.by/jour/article/view/1055 kostenfrei https://doaj.org/toc/1729-7648 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019 7 128-132 |
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(DE-627)DOAJ030866065 (DE-599)DOAJ6f557bd4c64044ecb571179f80b8dc42 DE-627 ger DE-627 rakwb rus TK7800-8360 T. P. Kul verfasserin aut Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. digital signal processing speech signal neurology bulbar syndrome speech disorders Electronics Y. N. Rushkevich verfasserin aut S. A. Lihachev verfasserin aut In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020 (2019), 7, Seite 128-132 (DE-627)1028342136 17297648 nnns year:2019 number:7 pages:128-132 https://doaj.org/article/6f557bd4c64044ecb571179f80b8dc42 kostenfrei https://doklady.bsuir.by/jour/article/view/1055 kostenfrei https://doaj.org/toc/1729-7648 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019 7 128-132 |
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Adaptation of digital signal processing methods to the analysis of speech in neurological pathologies |
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The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. |
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The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. |
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The methodical and software for the speech signal analysis at neurological pathologies, in particular, bulbar violations, has been offered. The approach is based on the digital signal processing methods adapted to the problem of speech analysis in clinical medicine. The result is a program developed in MatLab that performs the calculating and plotting spectrogram, histogram, kepstrogramm, frequencies of the main tone for the recorded speech tests. Approbation of the method was performed on the basis of Republican research and clinical center of neurology and neurosurgery and showed the prospects of its use for the diagnosis of bulbar syndrome. |
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