Segmentation method of sound signal based on ton/noise in condition of a priori uncertainty

V. Е. Gai; D. Т. Ainullin

Segmentation method of sound signal based on ton/noise in condition of a priori uncertainty

research article Pages: 32-37

¹ Ph.D. (Eng.), Associate Professor, Nizhniy Novgorod State Technical University n.a. R.E. Alekseev. <>
² Nizhniy Novgorod State Technical University n.a. R.E. Alekseev

Keywords: digital signal processing theory of active perception speech signal analysis voiced/unvoiced detection sound signal ton noise

Abstract

This paper proposes an algorithm of sound signal segmentation on voiced and noise areas, based on the theory of active perception. The described algorithm can be used in speech recognition on one of the first stages of speech processing.

How to cite

Гай В.Е., Айнуллин Д.Т. Алгоритм сегментации звукового сигнала по признаку тон/шум в условиях априорной неопределенности // Нейрокомпьютеры: разработка, применение. 2014. № 11. С. 32–37.

References

Borzino A., C. R., Dirceu G. da Silva, José A. Apolinário Voiced/unvoiced classification for short time frames and its application to frequency-domain cryptanalysis // International workshop on Telecommunications. Santa Rita do Sapucai. Brazil. Feb. 2007. P. 519-523.
Rossignol S., Pietquin O. Precise Voicing Information Extraction in Speech Signals Using the Analytic Signal // Proc. IEEE International Symposium on Signal Processing and Information Technology. Sarajevo. 16-19 Dec. 2008. P. 207-212.
Mahdi A.E., Jafer E. Two Feature Voiced/Unvoiced Classifier Using Wavelet Transform // The Open Electrical & Electronic Engineering Journal. 2008. V. 2(1). P. 8-13.
Bendiksen A., Steiglitz K. Neural networks for voiced/unvoiced speech classification // Acoustics, Speech, and Signal Processing (ICASSP-1990). International Conference. 1990. V. 1. P. 521-524.
Baranov V.G., Kondrat'ev V.V., Milov V.R., Zaripova Yu.Kh. Neyrosetevye algoritmy raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. 2007. № 11. S. 20-27.
Utrobin V.A. Fiziko-matematicheskie interpretatsii sistemy zritel'nogo vospriyatiya na urovne vrozhdennykh mekhanizmov // Trudy III Vseross. konf. «Nelineynaya dinamika v kognitivnykh issledovaniyakh-2013». N.Novgorod. 2013. S. 172-173.
Gay V.Ye. Metod otsenki chastoty osnovnogo tona v usloviyakh pomekh // Tsifrovaya obrabotka signalov. 2013. № 4. S. 65-71.
Mijanur Rahman, Al-Amin Bhuiyan. Dynamic thresholding on speech segmentation / International Journal of Research in Engineering and Technology. 2013. V. 2. Iss. 9. P. 404-411.

[1] Borzino A., C. R., Dirceu G. da Silva, José A. Apolinário Voiced/unvoiced classification for short time frames and its application to frequency-domain cryptanalysis // International workshop on Telecommunications. Santa Rita do Sapucai. Brazil. Feb. 2007. P. 519-523.

[2] Rossignol S., Pietquin O. Precise Voicing Information Extraction in Speech Signals Using the Analytic Signal // Proc. IEEE International Symposium on Signal Processing and Information Technology. Sarajevo. 16-19 Dec. 2008. P. 207-212.

[3] Mahdi A.E., Jafer E. Two Feature Voiced/Unvoiced Classifier Using Wavelet Transform // The Open Electrical & Electronic Engineering Journal. 2008. V. 2(1). P. 8-13.

[4] Bendiksen A., Steiglitz K. Neural networks for voiced/unvoiced speech classification // Acoustics, Speech, and Signal Processing (ICASSP-1990). International Conference. 1990. V. 1. P. 521-524.

[5] Baranov V.G., Kondrat'ev V.V., Milov V.R., Zaripova Yu.Kh. Neyrosetevye algoritmy raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. 2007. № 11. S. 20-27.

[6] Utrobin V.A. Fiziko-matematicheskie interpretatsii sistemy zritel'nogo vospriyatiya na urovne vrozhdennykh mekhanizmov // Trudy III Vseross. konf. «Nelineynaya dinamika v kognitivnykh issledovaniyakh-2013». N.Novgorod. 2013. S. 172-173.

[7] Gay V.Ye. Metod otsenki chastoty osnovnogo tona v usloviyakh pomekh // Tsifrovaya obrabotka signalov. 2013. № 4. S. 65-71.

[8] Mijanur Rahman, Al-Amin Bhuiyan. Dynamic thresholding on speech segmentation / International Journal of Research in Engineering and Technology. 2013. V. 2. Iss. 9. P. 404-411.

Abstract

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