DocumentCode
1654762
Title
On algorithm for phoneme speech recognition using nonlinear signal decomposition
Author
Krot, Alexander M. ; Tkachova, Polina P. ; Minervina, Helena B.
Author_Institution
Inst. of Eng. Cybern., Acad. of Sci., Minsk, Belarus
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1251
Abstract
Nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. A possible solution of phoneme recognition problem by means of measuring Wiener kernels is proposed
Keywords
series (mathematics); speech recognition; white noise; Volterra-Wiener functional series; Wiener kernels; nonlinear signal decomposition; phoneme speech recognition; recognition problem; Cybernetics; Discrete Fourier transforms; Fourier series; Kernel; Multiple signal classification; Signal generators; Signal processing; Signal resolution; Speech recognition; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN
0-7803-7057-0
Type
conf
DOI
10.1109/ICECS.2001.957442
Filename
957442
Link To Document