ONE OF THE TRIPS TO DETERMINE THE RELEVANT CHARACTERISTICS OF AUDIO SIGNALS ON THE EXAMPLE OF INTERJECTION RESEARCH
Abstract and keywords
Abstract (English):
This article describes one of the approaches for determining the relevant characteristics of audio signals on the example of interjection studies. The comparative evaluation is based on the technical characteristics of the audio signals recorded on the dictaphone of interjections, which are, first, the same in semantic analysis, and second, close in sound to each other, but pronounced with different intonation.

Keywords:
audio signals, interjections, semantic analysis, system approach, digital signal pro-cessing
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References

1. Zhilyakov, E.G. Fenomenologicheskaya matematicheskaya model' psihoakustiki sluha cheloveka / E.G. Zhilyakov, S.L. Babarinov // Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika. - 2017. - № 16 (265). - S. 122-130.

2. Sistemnoe modelirovanie rechepodobnyh signalov i ego primenenie v sfere bezopasnosti, svyazi i upravleniya / S.V. Dvoryankin, S.V. Ulengov, R.A. Usti-nov, N.S. Dvoryankin, A.O. Antipenko // Bezopasnost' informacionnyh tehnologiy. - 2019. - T. 26, № 4. - S. 101-119.

3. Savchenko, V.V. Eksperimental'noe issledovanie foneticheskih svoystv rechevogo signala na osnove ego teoretiko-informacionnoy modeli / V.V. Savchenko, T.A. Solov'eva // Nauchnye vedomosti Belgorodskogo gosudarstvennogo universite-ta. Seriya: Ekonomika. Informatika. - 2018. - T. 45, № 1. - S. 168-175.

4. Dobrushkin, G.O. Basic approaches to speech recognition (part II) / G.O. Dobrushkin, V.Ya. Danylov // Visnik Vinnic'kogo politehnichnogo institutu. - 2010. - № 2 (89). - S. 61-73.

5. Zacepin, P.M. Primenenie tehnologii NVIDIA CUDA dlya obucheniya i de-kodirovaniya skrytyh markovskih modeley / P.M. Zacepin, D.A. Gefke // Izvestiya Tomskogo politehnicheskogo universiteta. - 2014. - T. 324, № 5. - S. 115-121.

6. Veyvlet-preobrazovanie Dobeshi dlya nizkochastotnyh signalov, snyatyh s kory golovnogo mozga cheloveka / D.V. Bibikov, R.B. Burov, V.V. Lavlinskiy, Yu.G. Tabakov // Modelirovanie sistem i processov. - 2013. - № 2. - S. 8-11

7. Lavlinskiy, V.V. Teoreticheskie predposylki resheniya problem formiro-vaniya modeley i metodov vzaimodeystviya informacionnyh processov / V.V. Lav-linskiy // Modelirovanie sistem i processov. - 2013. - № 2. - S. 30-36.

8. Lavlinskiy, V.V. Teoreticheskie osnovy matematicheskogo modelirovaniya dlya opisaniya celenapravlennyh sistem / V.V. Lavlinskiy, E.A. Rogozin, S.N. Yan'-shin // Vestnik Voronezhskogo instituta MVD Rossii. - 2017. - № 2. -S. 143-153.

9. Lavlinskiy, V.V. Formirovanie modeley i metodov vzaimodeystviya in-formacionnyh processov / V.V. Lavlinskiy, O.G. Ivanova // Pribory i sistemy. Upravlenie, kontrol', diagnostika. - 2014. - № 5. - S. 39-50.

10. Lavlinskiy, V.V. Formirovanie modeley i metodov vzaimodeystviya in-formacionnyh processov / V.V. Lavlinskiy, O.G. Ivanova // Prikladnaya fizika i matematika. - 2015. - № 4. -S. 49-61.

11. Lavlinskiy, V.V. Metod obrabotki zvukovyh signalov na osnove wavelet-preobrazovaniy / V.V. Lavlinskiy, D.M. Kovalevskiy // Modelirovanie sistem i processov. - 2016. - T. 9, № 3. - S. 30-34.

12. Lavlinskiy, V.V. Kriteriy vyyavleniya zakonomernostey v informacion-nyh potokah rechevyh signalov / V.V. Lavlinskiy, T.V. Peseckaya // Promyshlennye ASU i kontrollery. - 2019. - № 3. - S. 36-42.

13. Lavlinskiy, V.V. Metod sravneniya smeshannyh i nesmeshannyh zvukovyh signalov na osnove wavelet-preobrazovaniy / V.V. Lavlinskiy, D.M. Kovalevskiy, D.S. Grigor'ev // Modelirovanie sistem i processov. - 2016. - T. 9, № 4. - S. 40-43.

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