Optimal algorithm filtration speech message with bearing noise signal
Keywords:A speech signal, a bearing noise signal, a Calman filtering, a minimum mean square error criterion
AbstractIn this work we examine two-channel measuring system, in which we have a bearing noise signal besides a noisy speech signal. Basing on the mathematic apparatus of Kalman’s filtration, an optimal algorithm of speech signal and obstacle forming filter parameters common filtration was synthesized. An optimal device includes two channels associated with each other. The received optimal algorithm investigation there was carried out in the modeling environment Math Lab on the real speech signal. Analysis of developed algorithm and it’s comparison with an adaptive gradient algorithm of obstacle compensation, assessed with lesser squares criteria, performed with a statistic modeling on ECM. A relation signal-noise increasing benefit after filtration reaches 20-40 dB.
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