You can do DNN-based speech enhancement(SE) in the frequency domain using various method through this repository. First, you have to make noisy data by mixing clean speech and noise. The dataset is ...

We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions ...

Abstract: In recent years, due to the rich parameters contained in deep neural network (DNN) models, researchers have proposed DNN model steganography, using DNN models as carriers. In this paper, we ...

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The proposed model is a deep neural network (DNN) trained using adaptive incremental learning, or AIL-DNN. The key ideas are as follows: Firstly, the parametric space is divided into several subspaces ...

This repository contains the original implementation of "MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation" in Keras (Tensorflow as backend). In this ...

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