Answers.Body: <p>Yes, it is possible. Usually, the noise reduction is done using regular signal processing methods, such as spectral subtraction due to demand for low latency. But, of course, modern methods of deep learning are applicable to this problem. For example, the variational autoencoder is the first that comes to my mind, you can check this  <a href="https://github.com/ghunkins/Voice-Denoising-AN" rel="nofollow noreferrer">project</a>. Another example you can look at is this <a href="https://github.com/drethage/speech-denoising-wavenet" rel="nofollow noreferrer">project</a>, which is based on WaveNet.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-12-13T16:15:58.740Z
Answers.Text: Thanks for the links, I'll check those out .Think it's what I'm looking for, yeah. 
  I don't really need realtime processing. I just have a bunch of audio files from lecture recordings that I'd like to "extract the speaker's voice" from as much as possible. So hopefully I can do that with this.
  I'll mark your answer as the best answer when I've tried it out
Answers.UserDisplayName: Thibault Molleman
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-02-27T17:11:18.070Z
Answers.Text: Hello @igrinis thank you very much for your answer. It would be great if you can make a short video or a list of operations needed to use it. I'm not familiar with github project.
Answers.UserDisplayName: Gennaro Arguzzi
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-12-12T15:39:56.747Z
Answers.LastActivityDate: 2021-12-23T13:26:20.160Z
Answers.LastEditDate: 2021-12-23T13:26:20.160Z
Answers.UserDisplayName: igrinis
Body: <p>Is it possible to clean up an audio recording of a lecture from a smartphone (i.e. remove the background noise) using some type of AI system?</p>
  
Tags: <deep-learning><reference-request><algorithm-request><audio-processing><signal-processing>
Title: Is it possible to clean up an audio recording of a lecture using some type of AI system?
UserDisplayName: Thibault Molleman
ThreadText: # Is it possible to clean up an audio recording of a lecture using some type of AI system?
  
  (Asked by: username_0 on 2018-12-12)
  
  Is it possible to clean up an audio recording of a lecture from a smartphone (i.e. remove the background noise) using some type of AI system?
  
  **Tags:** deep-learning, reference-request, algorithm-request, audio-processing, signal-processing
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2018-12-12. Score: 7
  
  Yes, it is possible. Usually, the noise reduction is done using regular signal processing methods, such as spectral subtraction due to demand for low latency. But, of course, modern methods of deep learning are applicable to this problem. For example, the variational autoencoder is the first that comes to my mind, you can check this [project](https://github.com/ghunkins/Voice-Denoising-AN). Another example you can look at is this [project](https://github.com/drethage/speech-denoising-wavenet), which is based on WaveNet.
  
  > **Comments:**
  > **username_0**: Thanks for the links, I'll check those out .Think it's what I'm looking for, yeah.  I don't really need realtime processing. I just have a bunch of audio files from lecture recordings that I'd like to "extract the speaker's voice" from as much as possible. So hopefully I can do that with this. I'll mark your answer as the best answer when I've tried it out  
  > **username_2**: Hello @username_1 thank you very much for your answer. It would be great if you can make a short video or a list of operations needed to use it. I'm not familiar with github project.  
  
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