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AssigneeDolby Laboratories Licensing Corporation
InventorsJundai Sun, Lie Lu, Zhiwei Shuang
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Systems, methods, and computer program products for audio processing based on convolutional neural network (CNN) are described. A first CNN architecture may comprise a contracting path of a U-net, a multi-scale CNN, and an expansive path of a U-net. The contracting path may comprise a first encoding layer and may be configured to generate an output representation of the contracting path. The multi-scale CNN may be configured to generate, based on the output representation of the contracting path, an intermediate representation. The multi-scale CNN may comprise at least two parallel convolution paths. The expansive path may comprise a first decoding layer and may be configured to generate a final representation based on the intermediate representation generated by the multi-scale CNN. Within a second CNN architecture, the first encoding layer may comprise a first multi-scale CNN with at least two parallel convolution paths, and the first decoding layer may comprise a second multi-scale CNN with at least two parallel convolution paths.
A convolutional neural network (CNN) architecture for audio processing, the CNN architecture comprising:
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A convolutional neural network (CNN) architecture for audio processing, the CNN architecture comprising:
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A method of audio processing using convolutional neural networks (CNNs), the method comprising
A method of audio processing using convolutional neural networks (CNNs), the method comprising
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