Invention Grant
- Patent Title: Real-time dynamic noise reduction using convolutional networks
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Application No.: US17033605Application Date: 2020-09-25
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Publication No.: US12062369B2Publication Date: 2024-08-13
- Inventor: Adam Kupryjanow , Tomasz Noczynski , Lukasz Pindor , Sebastian Rosenkiewicz
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G10L15/20
- IPC: G10L15/20 ; G10L15/16

Abstract:
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, including speech and dynamic noise. A separator coupled to the encoder 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. A decoder coupled to the mixer and the encoder 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.
Public/Granted literature
- US20210012767A1 REAL-TIME DYNAMIC NOISE REDUCTION USING CONVOLUTIONAL NETWORKS Public/Granted day:2021-01-14
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