FIELD: acoustics.
SUBSTANCE: invention relates to acoustics, in particular to the active noise suppression devices. Real-time audio suppression device, consisting of sound radiation receiver connected to the sound radiation spectrum analyzer, which is equipped with connected to the machine learning unit amplifier, differs in that the machine learning unit performs the suppressed signal prediction using machine learning algorithm, which uses the signal frequency and spectral characteristics as historical information for linear regression algorithms, statistical and probability algorithms, and behavior and prediction model, and is configured to verify the prediction correctness by the cross-validation method and the predicted signal transmission possibility to the suppressing signal generator connected to the sound transmitter.
EFFECT: increase in the noise suppression efficiency.
1 cl, 1 dwg
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