Assessing Audio Quality with Deep Learning

Assessing Audio Quality with Deep Learning

  • Posted by Daitan Innovation Team
  • On February 12, 2020
  • Deep Learning, Tensor Flow 2.0, VoIP
How to train a Deep Learning system to estimate Mean Opinion Score (MOS) using TensorFow 2.0. -- If you’ve ever used VoIP (Voice Over IP) applications like Skype or Hangouts, you know that audio degradation can be a problem. In video or audio conferences, perhaps with clients and prospects, audio quality is important.
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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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