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Music software with a Machine Learning-based feedback system as an alternative for initial piano study in children

 
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<title>Music software with a Machine Learning-based feedback system as an alternative for initial piano study in children</title>
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<namePart>Borja, Miguel A.</namePart>
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<namePart>Camargo, Jorge E.</namePart>
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<abstract displayLabel="Summary">As evidenced in the literature, music has accompanied the human being for millennia, in different situations, emotions, and activities. In addition, not only does it allow expressions of internal personal states and feelings, but it can also produce many positive effects on those who practice it. Various authors have explored these benefits that musical activity brings, mainly in children. They highlight positive aspects of learning music in different areas of knowledge, in school performance and even improvements in the IQ of infants. However, despite the large number of studies regarding the benefits of music in children and the different nascent teaching alternatives, in Colombia the situation continues to be dramatic in terms of the incorporation of musical activity in the school curriculum</abstract>
<note type="statement of responsibility">Miguel A. Borja y Jorge E. Camargo</note>
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<topic>Música</topic>
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<topic>Piano</topic>
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<topic>Machine learning</topic>
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<topic>Aplicaciones móviles</topic>
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<topic>Software</topic>
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<topic>Inteligencia artificial</topic>
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<url displayLabel="electronic resource" usage="primary display">https://journal.iberamia.org/index.php/intartif/article/view/983</url>
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<title>Revista Iberoamericana de Inteligencia Artificial</title>
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<publisher> : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-</publisher>
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<identifier type="issn">1988-3064</identifier>
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<text>19/06/2024 Volumen 27 Número 73 - junio 2024 , p. 92-110</text>
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