Fast algorithms for Wiener kernels computing in speech phoneme recognition
نویسندگان
چکیده
This paper presents the nonlinear speech phoneme decomposition based on Volterra-Wiener functional series. It is shown the usage this nonlinear decomposition in speech recognition systems constructing. The fast algorithms for finding estimation of Wiener kernels in frequency domain permit to reduce essentially computing expenses for evaluation of signals decomposition.
منابع مشابه
Algorithm of phoneme identification using fast measurement of Wiener kernels of speech signals
The nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. The solution of speech recognition problem by means of measuring Wiener kernels is proposed. The recognition system of speech signal is considered for speech phoneme identification.
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