TRABALHOS DE FIM DE CURSO @PUC-Rio
| Título: | GENERATION OF MUSIC FOR GAMES INTEGRATED TO THE PLOT WITH DEEP LEARNING TECHNIQUES | ||||||||||||
| Autor(es): |
GUSTAVO AMARAL COSTA DOS SANTOS |
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| Colaborador(es): |
BRUNO FEIJO - Orientador AUGUSTO CESAR ESPINDOLA BAFFA - Coorientador |
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| Catalogação: | 24/FEV/2022 | Língua(s): | ENGLISH - UNITED STATES |
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| Tipo: | TEXT | Subtipo: | SENIOR PROJECT | ||||||||||
| Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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| Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=57504@1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=57504@2 |
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| DOI: | https://doi.org/10.17771/PUCRio.acad.57504 | ||||||||||||
| Resumo: | |||||||||||||
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In this project, a study was developed regarding the generation of musical content for games through different deep learning techniques. In it, in addition to the construction of a theoretical framework to support future projects, the implementation of a system capable of parameterizing feelings, through the
Arousal/Valence model, and thus, able to materialize the musical generation integrated to the plot, was also addressed. Therefore, for the generation of the musical content, the Transformer was used as deep learning model. Moreover, aiming to optimize it, the process was integrated with a multilayer music generation technique and the system itself was implemented in Typescript and Python with NestJS and TensorFlow/Magenta as main frameworks respectively.
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