ANALOG HARDWARE REALIZATION OF TRAINED NEURAL NETWORKS FOR VOICE CLARITY

    公开(公告)号:WO2022191879A1

    公开(公告)日:2022-09-15

    申请号:PCT/US2021/058266

    申请日:2021-11-05

    Abstract: Systems and methods are provided for analog hardware realization of convolutional neural networks for voice clarity. The method incudes obtaining a neural network topology and weights of a trained neural network. The method also includes transforming the neural network topology to an equivalent analog network of analog components. The method also includes computing a weight matrix for the equivalent analog network based on the weights of the trained neural network. Each element of the weight matrix represents one or more connections between analog components of the equivalent analog network. The method also includes generating a schematic model for implementing the equivalent analog network based on the weight matrix, including selecting component values for the analog components.

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