Detalhes bibliográficos
Ano de defesa: |
2023 |
Autor(a) principal: |
Brum, Leonardo Araujo Zoehler |
Orientador(a): |
Ordonez, Edward David Moreno |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Pós-Graduação em Ciência da Computação
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
https://ri.ufs.br/jspui/handle/riufs/19472
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Resumo: |
Singing voice synthesis involves the artificial generation of a song given its lyrics and musical notes through computational methods. This paper describes the development of PATRICIA, a system that performs real-time singing synthesis for Brazilian Portuguese. A systematic mapping was conducted to provide guidelines for the design and implementation of PATRICIA. Additionally, experiments were carried out to demonstrate the musical capabilities of the system and perform a comparative analysis of its performance on a personal computer and a Raspberry Pi device. The mapping resulted in the choice of a concatenative synthesis approach based on samples and text files providing the song lyrics in advance. An initial version of the synthesizer was implemented in the SuperCollider language as a proof of concept. The conducted experiments validated this proof of concept, demonstrating the feasibility of the idea, particularly in terms of performance, which showed excellent indicators on both chosen platforms. Some improvements are pointed out with the aim of making the synthesizer overcome its current limitations in future versions. |