Clasificación bidimensional de emociones percibidas al escuchar música, usando Machine Learning
This document describes the work carried out in the search for the most appropriate model to classify emotions in a two-dimensional plane, as a result of the emotional perception of a person when listening to music. The context of the problem, the theory used as a basis, the work methodology, the co...
- Autores:
-
Solarte Pantoja, Mateo Sebastián
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/51558
- Acceso en línea:
- http://hdl.handle.net/1992/51558
- Palabra clave:
- Aprendizaje automático (Inteligencia artificial)
Emociones en la música
Percepción musical
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | This document describes the work carried out in the search for the most appropriate model to classify emotions in a two-dimensional plane, as a result of the emotional perception of a person when listening to music. The context of the problem, the theory used as a basis, the work methodology, the comparative results, conclusions, future works and the implication of this work in the study of Music Emotion Recognition are exposed in this document. |
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