International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 1999)

Florence, Italy
September 1-3, 1999

The Nonlinear Signal Decomposition in Voice Recognition System Constructing

Alexander M. Krot (1), Polina P. Tkachova (2)

(1) Institute of Engineering Cybernetics of the National Academy of Sciences of Belarus
(2) Belarusian State University, Minsk, Belarus

The nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. The nonlinear filter bank structure is proposed for phonemes recognition solving.

Index Terms. nonlinear signal decomposition, nonlinear filter bank structure, phoneme recognition.

Full Paper

Bibliographic reference.  Krot, Alexander M. / Tkachova, Polina P. (1999): "The nonlinear signal decomposition in voice recognition system constructing", In MAVEBA-1999, 54-58.