Maialib: uma biblioteca de funções para análise e composição musical assistida por computador com aplicação a modelos de dissonância

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Maia, Nycholas; Novo Junior, José Eduardo Fornari, 2026, "Maialib: uma biblioteca de funções para análise e composição musical assistida por computador com aplicação a modelos de dissonância", https://doi.org/10.25824/redu/4EU3UP, Repositório de Dados de Pesquisa da Unicamp, V1

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Description	O objetivo dessa pesquisa é, principalmente, apresentar uma nova ferramenta de análise e composição musical assistida por computador denominada maialib, a qual, tecnicamente, consiste em uma biblioteca de funções escrita em C++ com wrapper para Python, e disponibilizada como software open-source na Internet. (2025-12-25)
Subject	Arts and Humanities
Keyword	Computer software — Music applications, Consonance and dissonance (Music), Musical acoustics - Mathematical models + Tuning systems (Music), Music - Analysis, appreciation, Computer-aided composition, Music information retrieval
Related Publication	MAIA, Nycholas. Maialib: uma biblioteca de funções para musicologia e análise musical assistida por computador. In: ANAIS do XXXIII Congresso da ANPPOM. São João del-Rei, Associação Nacional de Pesquisa e Pós-Graduação em Música, 2023. Disponível em: https://anppom.org.br/congressos/anais/v33/
License/Data Use Agreement	CC BY-NC 4.0


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Citation Metadata

Persistent Identifier	doi:10.25824/redu/4EU3UP
Publication Date	2026-01-15
Title	Maialib: uma biblioteca de funções para análise e composição musical assistida por computador com aplicação a modelos de dissonância
Alternative URL	https://github.com/nyckmaia/maialib
Author	Maia, Nycholas (Universidade Estadual de Campinas (UNICAMP), Instituto de Artes) - ORCID: https://orcid.org/0000-0002-8109-7304 Novo Junior, José Eduardo Fornari (Universidade Estadual de Campinas (UNICAMP). Núcleo Interdisciplinar de Comunicação Sonora) https://orcid.org/0000-0003-1049-7105
Point of Contact	Use email button above to contact. Novo Junior, José Eduardo Fornari (Universidade Estadual de Campinas (UNICAMP). Núcleo Interdisciplinar de Comunicação Sonora)
Description	O objetivo dessa pesquisa é, principalmente, apresentar uma nova ferramenta de análise e composição musical assistida por computador denominada maialib, a qual, tecnicamente, consiste em uma biblioteca de funções escrita em C++ com wrapper para Python, e disponibilizada como software open-source na Internet. (2025-12-25)
Subject	Arts and Humanities
Keyword	Computer software — Music applications (LCSH) https://id.loc.gov/authorities/subjects.html Consonance and dissonance (Music) (LCSH) https://id.loc.gov/authorities/subjects.html Musical acoustics - Mathematical models + Tuning systems (Music) (LCSH) https://id.loc.gov/authorities/subjects.html Music - Analysis, appreciation (LCSH) https://id.loc.gov/authorities/subjects.html Computer-aided composition (LCSH) https://id.loc.gov/authorities/subjects.html Music information retrieval (LCSH) https://id.loc.gov/authorities/subjects.html
Related Publication	MAIA, Nycholas. Maialib: uma biblioteca de funções para musicologia e análise musical assistida por computador. In: ANAIS do XXXIII Congresso da ANPPOM. São João del-Rei, Associação Nacional de Pesquisa e Pós-Graduação em Música, 2023. Disponível em: https://anppom.org.br/congressos/anais/v33/ handle: https://hdl.handle.net/20.500.12733/41923 MAIA, Nycholas. Maialib: uma biblioteca de funções para análise e composição musical assistida por computador com aplicação a modelos de dissonância. 2025. 1 recurso online (152 p.) Tese (doutorado) - Universidade Estadual de Campinas (UNICAMP), Instituto de Artes, Campinas, SP. handle: https://hdl.handle.net/20.500.12733/41769
Funding Information	No Funder: 0000
Depositor	Eduardo Fornari Novo Junior, Jose
Deposit Date	2026-01-06
Declarações obrigatórias sobre ética e privacidade	o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados)

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