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In this speech enhancement approach, the Neural Network simulates a set of gain functions which attempts to match human hearing and optimises a particular SNR.
In this speech enhancement approach, the Neural Network simulates a set of gain func- tions which attempts to match human hearing and optimises a particular SNR ...
A speech enhancement approach based on a set of Neural Networks of which each Neural Network is developed particularly for a critical band and a predefined ...
Utilizing neural network and critical band processing for speech enhancement ; Authors. Yong, Pei Chee. Chan, Kit Yan. Nordholm, Sven ; Date. 2017 ; Type.
Utilizing neural network and critical band processing for speech enhancement ... A Regression Approach to Speech Enhancement Based on Deep Neural Networks.
May 27, 2024 · Deep learning has become a de facto method of choice for speech enhancement tasks with significant improvements in speech quality. However, real ...
In numerous real-world scenarios, speech enhancement networks are frequently employed to process noisy speech with varying bandwidths. However, in certain ...
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Oct 25, 2023 · In this paper, we review the current DNN techniques being employed to achieve speech enhancement and separation.
Mar 22, 2022 · In this article, the speech enhancement neural network is built from three main subnetworks: input layers, base layers, and output layers. The ...
In this study, we tested whether an SE algorithm using neural networks (NNSE) can improve the SRTs of CI users for speech in stationary and non-stationary ...
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