Features Speech Signature Image Recognition on Mobile Devices
The algorithms fordynamic spectrograms images recognition, processing and soundspeech signature (SS) weredeveloped. The software for mobile phones, thatcan recognize speech signatureswas prepared. The investigation of the SS recognition speed on its boundarytypes was conducted. Recommendations on t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Joint Stock Company "Experimental Scientific and Production Association SPELS
2015-12-01
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| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.mephi.ru/index.php/bit/article/view/65 |
| _version_ | 1797718007444668416 |
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| author | Alexander Mikhailovich Alyushin Nikita Sergeevich Dvoryankin |
| author_facet | Alexander Mikhailovich Alyushin Nikita Sergeevich Dvoryankin |
| author_sort | Alexander Mikhailovich Alyushin |
| collection | DOAJ |
| description | The algorithms fordynamic spectrograms images recognition, processing and soundspeech signature (SS) weredeveloped. The software for mobile phones, thatcan recognize speech signatureswas prepared. The investigation of the SS recognition speed on its boundarytypes was conducted. Recommendations on the boundary types choice in the optimal ratio of recognitionspeed and required space were given. |
| first_indexed | 2024-03-12T08:44:43Z |
| format | Article |
| id | doaj.art-3be2989802a64547aa2d290cb64ad2f5 |
| institution | Directory Open Access Journal |
| issn | 2074-7128 2074-7136 |
| language | English |
| last_indexed | 2024-03-12T08:44:43Z |
| publishDate | 2015-12-01 |
| publisher | Joint Stock Company "Experimental Scientific and Production Association SPELS |
| record_format | Article |
| series | Безопасность информационных технологий |
| spelling | doaj.art-3be2989802a64547aa2d290cb64ad2f52023-09-02T16:29:44ZengJoint Stock Company "Experimental Scientific and Production Association SPELSБезопасность информационных технологий2074-71282074-71362015-12-0122465Features Speech Signature Image Recognition on Mobile DevicesAlexander Mikhailovich Alyushin0Nikita Sergeevich Dvoryankin1National Nuclear Research University MEPHI (Moscow Engineering Physics Institute)Central research Institute of Economics, Informatics and control systemsThe algorithms fordynamic spectrograms images recognition, processing and soundspeech signature (SS) weredeveloped. The software for mobile phones, thatcan recognize speech signatureswas prepared. The investigation of the SS recognition speed on its boundarytypes was conducted. Recommendations on the boundary types choice in the optimal ratio of recognitionspeed and required space were given.https://bit.mephi.ru/index.php/bit/article/view/65speech signatureaudiomarkerspectrogram image |
| spellingShingle | Alexander Mikhailovich Alyushin Nikita Sergeevich Dvoryankin Features Speech Signature Image Recognition on Mobile Devices Безопасность информационных технологий speech signature audiomarker spectrogram image |
| title | Features Speech Signature Image Recognition on Mobile Devices |
| title_full | Features Speech Signature Image Recognition on Mobile Devices |
| title_fullStr | Features Speech Signature Image Recognition on Mobile Devices |
| title_full_unstemmed | Features Speech Signature Image Recognition on Mobile Devices |
| title_short | Features Speech Signature Image Recognition on Mobile Devices |
| title_sort | features speech signature image recognition on mobile devices |
| topic | speech signature audiomarker spectrogram image |
| url | https://bit.mephi.ru/index.php/bit/article/view/65 |
| work_keys_str_mv | AT alexandermikhailovichalyushin featuresspeechsignatureimagerecognitiononmobiledevices AT nikitasergeevichdvoryankin featuresspeechsignatureimagerecognitiononmobiledevices |