Answers.Body: <p>As far as I can see, there's no reason why you couldn't (for example) take the convolutional inputs to deepdream from adjacent sample points, rather than adjacent spatial positions, as is the case with image input.</p>
  
  <p>Given the 'self similar' nature of deep dream images, listening to this <a href="https://vimeo.com/13541969" rel="nofollow">fractal granular synthesis</a> technique might be of interest/inspiration.</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-08-03T16:46:33.883Z
Answers.LastActivityDate: 2016-08-03T16:46:33.883Z
Answers.UserDisplayName: NietzscheanAI
Body: <p>What happens if you apply the same <a href="https://en.wikipedia.org/wiki/DeepDream" rel="nofollow noreferrer">deep dream technique</a> which produces "dream" visuals but to media streams such as audio files?</p>
  
  <p>Does changing image functions into audio and enhancing the logic would work, or will it no longer work/doesn't make any sense?</p>
  
  <p>My goal is to create "dream" like audio based on the two samples.</p>
  
Tags: <convolutional-neural-networks><deepdreaming>
Title: Is it possible to apply deep dream technique for the audio streams?
UserDisplayName: kenorb
ThreadText: # Is it possible to apply deep dream technique for the audio streams?
  
  (Asked by: username_0 on 2016-08-02)
  
  What happens if you apply the same [deep dream technique](https://en.wikipedia.org/wiki/DeepDream) which produces "dream" visuals but to media streams such as audio files?
  
  Does changing image functions into audio and enhancing the logic would work, or will it no longer work/doesn't make any sense?
  
  My goal is to create "dream" like audio based on the two samples.
  
  **Tags:** convolutional-neural-networks, deepdreaming
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2016-08-03. Score: 3 | Accepted answer
  
  As far as I can see, there's no reason why you couldn't (for example) take the convolutional inputs to deepdream from adjacent sample points, rather than adjacent spatial positions, as is the case with image input.
  
  Given the 'self similar' nature of deep dream images, listening to this [fractal granular synthesis](https://vimeo.com/13541969) technique might be of interest/inspiration.
  
  
  ---
  
  