REAL-TIME DYNAMIC NOISE REDUCTION USING CONVOLUTIONAL NETWORKS

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United States of America

APP PUB NO 20250046304A1
SERIAL NO

18770496

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Abstract

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A system, method and computer readable medium for dynamic noise reduction in a voice call. The system includes an encoder having a short-time Fourier transform module to determine a magnitude spectrum and a phase spectrum of an input audio signal. The input audio signal includes speech and dynamic noise. A separator is coupled to the encoder. The separator comprises a temporal convolution network (TCN) used to develop a separation mask using the magnitude spectrum as input. The TCN is trained using a frequency SNR function used to calculate loss during training. A mixer is coupled to the separator to multiply the separation mask with the magnitude spectrum to separate the speech from the dynamic noise to obtain a denoise magnitude spectrum. The system also includes a decoder coupled to the mixer and the encoder. The decoder includes an inverse short-time Fourier transform module to reconstruct the input audio signal without the dynamic noise using the denoise magnitude spectrum and the phase spectrum.

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Patent Owner(s)

  • INTEL CORP.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kupryjanow, Adam Gdansk, PL 29 228
Noczynski, Tomasz Gdansk, PL 4 29
Pindor, Lukasz Pruszcz Gdanski, PL 9 7
Rosenkiewicz, Sebastian Gdansk, PL 7 10

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