New Approach to Speech Signal Recognition Using Nonlinear Signal Decomposition by Measuring Wiener Kernels
| Autor: | Polina P. Tkachova, Boris A. Goncharov, Alexander M. Krot |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Series (mathematics)
Phoneme recognition business.industry Speech recognition Wiener filter Structure (category theory) Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Pattern recognition Signal symbols.namesake Nonlinear system Computer Science::Sound Nonlinear filter symbols Decomposition (computer science) Artificial intelligence business Software Mathematics |
| Zdroj: | International Journal of Smart Engineering System Design. 4:265-276 |
| ISSN: | 1607-8500 1025-5818 |
| Popis: | The nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. The solution of the phoneme recognition problem by means of measuring Wiener kernels is proposed. The nonlinear filter bank structure is considered for phoneme recognition solving. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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