Self-Supervised Deep Learning-Based Speech Denoising
Abstract
This paper presents a self-supervised deep neural network solution to speech denoising by easing the requirement that clean speech signals need to be available for network training. This self-supervised approach is based on training a Fully Convolutional Neutral Network to map a noisy speech signal to another noisy version of the speech signal. To show the effectiveness of the developed approach, four commonly used objective performance measures...
Paper Details
Title
Self-Supervised Deep Learning-Based Speech Denoising
Published Date
Apr 26, 2019
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