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aMUZE – Your music | Your story | Your terms

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The project management is responsible for the content of the information provided.

Project data

  • Project no: GRS-022/22 
  • Amount of funding: CHF 150'000 
  • Approved: 28.06.2022 
  • Duration: 02.2023 - 02.2024 
  • Area of activity:  First Ventures, seit 2018

Project management

Project description

We are introducing an AI powered music generation solution. Using new technologies, every person worldwide has the capacity to compose music by themselves without having musical skills, formal music education, access to resources or other requirements.
All one needs is a musical idea and a smartphone. With our app, the user will be able to turn this idea into a coherent musical story, complete with sound, lyrics and artwork that fit together.
The roadmap includes deciphering the DNA of music creativity and breaking it down into its elementary components. These components can then be used as building blocks for new content. In order to offer these services, our team will create state-of-the-art AI by leveraging great computational power and large datasets.
In a new music-oriented social network, people will be able to share, comment and react to songs from around the world.

Status/Results

aMUZE is available on amuze.ai for testing. Accepted users can provide some text as input, make some adjustments and aMUZE makes a best guess about what song the user has in mind.
aMUZE can use lyrics to generate artwork and music that coherently fits to the provided input.
Currently aMUZE supports limited music genres including alternative and rap.
After 1 year of a very good collaboration with the Gebert Rüf Stiftung, the co-founders see that it will take longer than expected to deliver promised goals. Therefore our collaboration has to end. We thank the Gebert Rüf Stiftung for their support throughout this time.

Links

Persons involved in the project

Diamantis Argyris, Project manager | Full stack developer (iOS)
Prof. Dr. Alexander, Supervisor
Dr. Luca Mazzola, Supervisor
Prof. Dr. Richard Savery, Lead of AI R&D
Prof. Dr. Kostas Blekos, Lead of Software Development
Dimitri Spicher, Full stack developer (iOS), transcription
Shivam Adarsh, Back-end developer, composition

Last update to this project presentation  13.03.2024