FIELD: audio processing.
SUBSTANCE: increase in the accuracy of noise suppression in the speech signal is achieved due to the fact that the channels of the input tensor are divided into local and global branches; regular convolutional layers for local updates of tensor transformation maps on a local branch are used; a Fourier transform is performed in the frequency measurement of the global branch tensor; the map of characteristics of the global branch in the spectral domain is updated through pointwise convolutional layers; an inverse Fourier transform is applied to the updated global branch feature map; and the activations of the local and global branches are summarized.
EFFECT: increasing the accuracy of noise suppression in the speech signal.
10 cl, 4 dwg, 3 tbl
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| DEVICE, METHOD, OR COMPUTER PROGRAM FOR GENERATING AN EXTENDED-BAND AUDIO SIGNAL USING A NEURAL NETWORK PROCESSOR | 2018 |
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| TECHNOLOGY FOR ANALYZING ACOUSTIC DATA FOR SIGNS OF COVID-19 DISEASE | 2021 |
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