Answers.Body: <p>you do not need ai for that, just a little bit of math / statistics:</p>
  <p>audio: <a href="https://m.soundcloud.com/user-919775337/sets/algorithmic-reinterpretation" rel="nofollow noreferrer">https://m.soundcloud.com/user-919775337/sets/algorithmic-reinterpretation</a></p>
  <p>method:
  <a href="https://stats.stackexchange.com/questions/541044/a-new-method-for-processing-music-scores">https://stats.stackexchange.com/questions/541044/a-new-method-for-processing-music-scores</a></p>
  <p>source code:
  <a href="https://github.com/githubuser1983/algorithmic_python_music/blob/main/12RootOf2.py" rel="nofollow noreferrer">https://github.com/githubuser1983/algorithmic_python_music/blob/main/12RootOf2.py</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-09-01T12:48:46.513Z
Answers.Text: Although the method is interesting and intriguing, it generates a new melody from a single melody, not from multiple melodies.
Answers.UserDisplayName: emonigma
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-09-02T13:06:41.437Z
Answers.Text: @miguelmorin: It can be easily adapted to mix for example two melodies: https://soundcloud.com/user-919775337/sets/algorithmic-reinterpretation Please let me know if you are interested in the source code.
Answers.UserDisplayName: mathoverflowUser
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-08-23T11:31:47.837Z
Answers.LastActivityDate: 2021-08-23T11:31:47.837Z
Answers.UserDisplayName: mathoverflowUser
Body: <p>Generative Adversarial Networks can generate realistic photos of people, such as <a href="https://thispersondoesnotexist.com/" rel="nofollow noreferrer">thispersondoesnotexist.com</a>. I wonder whether one can train an artificial intelligence on a batch of plain solo melodies (no instruments) and ask it to produce a new and similar one.</p>
  <p><a href="https://medium.com/ee-460j-final-project/generating-music-with-a-generative-adversarial-network-8d3f68a33096" rel="nofollow noreferrer">This article</a> suggests the techniques require a lot of work and are still young:</p>
  <blockquote>
  <p>We have explored and evaluated the generation of music using a Generative Adversarial Network as well as with an alternative method in the form of an N-gram model. Our GAN is able to capture some of the structure of single track music. We have accomplished our goal of identifying structural similarities shared across music compositions. However, the music we created lacks coherent melodies and needs improvement.</p>
  </blockquote>
  <p>What is the state of the art in melody generation?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-08-24T06:02:30.283Z
Comments.Text: "state of the art" would be hard to evaluate in this case...
Comments.UserDisplayName: k.c. sayz 'k.c sayz'
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-09-05T12:30:19.213Z
Comments.Text: You can generate different melodies by combining two scores such as: https://musescore1983.bandcamp.com/track/three-is-a-prime or https://musescore1983.bandcamp.com/track/inspired-by-elise-and-swan-lake-while-sounding-like-gymnopedie-no-1
Comments.UserDisplayName: mathoverflowUser
Tags: <neural-networks><reference-request><generative-adversarial-networks><generative-model><state-of-the-art>
Title: What is the state of the art in melody generation?
UserDisplayName: emonigma
ThreadText: # What is the state of the art in melody generation?
  
  (Asked by: username_0 on 2021-06-14)
  
  Generative Adversarial Networks can generate realistic photos of people, such as [thispersondoesnotexist.com](https://thispersondoesnotexist.com/). I wonder whether one can train an artificial intelligence on a batch of plain solo melodies (no instruments) and ask it to produce a new and similar one.
  
  [This article](https://medium.com/ee-460j-final-project/generating-music-with-a-generative-adversarial-network-8d3f68a33096) suggests the techniques require a lot of work and are still young:
  
  > We have explored and evaluated the generation of music using a Generative Adversarial Network as well as with an alternative method in the form of an N-gram model. Our GAN is able to capture some of the structure of single track music. We have accomplished our goal of identifying structural similarities shared across music compositions. However, the music we created lacks coherent melodies and needs improvement.
  
  What is the state of the art in melody generation?
  
  **Tags:** neural-networks, reference-request, generative-adversarial-networks, generative-model, state-of-the-art
  
  > **Comments:**
  > **username_1**: "state of the art" would be hard to evaluate in this case...  
  > **username_2**: You can generate different melodies by combining two scores such as: https://musescore1983.bandcamp.com/track/three-is-a-prime or https://musescore1983.bandcamp.com/track/inspired-by-elise-and-swan-lake-while-sounding-like-gymnopedie-no-1  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2021-08-23. Score: 2
  
  you do not need ai for that, just a little bit of math / statistics:
  
  audio: <https://m.soundcloud.com/user-919775337/sets/algorithmic-reinterpretation>
  
  method:
  <https://stats.stackexchange.com/questions/541044/a-new-method-for-processing-music-scores>
  
  source code:
  <https://github.com/githubuser1983/algorithmic_python_music/blob/main/12RootOf2.py>
  
  > **Comments:**
  > **username_0**: Although the method is interesting and intriguing, it generates a new melody from a single melody, not from multiple melodies.  
  > **username_2**: @miguelmorin: It can be easily adapted to mix for example two melodies: https://soundcloud.com/user-919775337/sets/algorithmic-reinterpretation Please let me know if you are interested in the source code.  
  
  ---
  
  