MusicGen Music generation model as a tool for artistic creation
The current work is an exploration on how to re purpose AI driven technologies to generate music, in a way that prioritizes the artistic endeavour of musical composition. A particular concept, which is hereby addressed, is the idea of agency of decision in the creative process. The study will center...
- Autores:
-
Tovar García, Diego Alejandro
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/73824
- Acceso en línea:
- https://hdl.handle.net/1992/73824
- Palabra clave:
- AI
Music
Generative Music
Deep Learning
Machine Learning
Convolusional Autoencoder
Art
Ingeniería
Arte
Música
- Rights
- embargoedAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | The current work is an exploration on how to re purpose AI driven technologies to generate music, in a way that prioritizes the artistic endeavour of musical composition. A particular concept, which is hereby addressed, is the idea of agency of decision in the creative process. The study will center on the execution of a spatial intervention where the sound experience will be built from user-given-prompts describing the space they roam. The code for the project can be found at https://github.com/Didage/spatial-music-gen. |
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