How To Build a Deep Audio De-Noiser Using TensorFlow 2.0
- Posted by Daitan Innovation Team
- On December 1, 2019
- AI, Audio, Audio De-noiser, Deep Learning, Tensor Flow 2.0
In this article, we tackle the problem of speech de-noising using Convolutional Neural Networks (CNNs). Given a noisy input signal, we aim to build a statistical model that can extract the clean signal (the source) and return it to the user. Here, we focus on source separation of regular speech signals from ten different types of noise often found in an urban street environment.
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