公开(公告)号：US12087265B2

公开(公告)日：2024-09-10

申请号：US18177885

申请日：2023-03-03

Applicant: University of Manitoba

Inventor： Young Jin Cha ,  Sukhpreet Singh Benipal

IPC: G10K11/178

CPC classification number: G10K11/1781 ,  G10K11/1785

Abstract: A computer-implemented method for generating anti-noise using an anti-noise generator to suppress noise from a noise source in an environment comprises processing a sound signal, which is representative of ambient sound including noise, anti-noise and propagation noise from the environment, using a deep learning algorithm configured to generate an anti-noise signal to form anti-noise. The deep learning algorithm comprises a convolution layer; after the convolution layer, a series of atrous scaled convolution modules, wherein each of the atrous scaled convolution modules comprises an atrous convolution, a nonlinear activation function after the atrous convolution, and a pointwise convolution after the nonlinear activation function; after the series of atrous scaled convolution modules, a recurrent neural network; and after the recurrent neural network, a plurality of fully connected layers.