Exploring the Viability of Generative Adversarial Networks for Audio Denoising

Exploring the Viability of Generative Adversarial Networks for Audio Denoising

  • Posted by Daitan Innovation Team
  • On November 18, 2020
  • AI, Artificial Intelligence, Audio, Audio De-noiser
There are various definitions of audio denoising. For the purposes of this project we interpret audio denoising to be the removal of any sound other than the primary speaker's voice. Thalles Santos Silva covers the mathematical concepts behind denoising and the CNN in his 2019 article. He also provides background information about the two datasets involved (Mozilla Common Voice English dataset and the UrbanSound8k dataset).
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 How To Build a Deep Audio De-Noiser Using TensorFlow 2.0

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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