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            <idno type="halRefHtml">&lt;i&gt;17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)&lt;/i&gt;, Jun 2021, Hersonissos, Crete, Greece. pp.387-397, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-030-79150-6_31"&gt;&amp;#x27E8;10.1007/978-3-030-79150-6_31&amp;#x27E9;&lt;/a&gt;</idno>
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                <term xml:lang="en">Imperfection</term>
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                <term xml:lang="en">Artificial intelligence</term>
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                <term xml:lang="en">Genre</term>
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                <term xml:lang="en">Challenge</term>
                <term xml:lang="en">Prediction</term>
                <term xml:lang="en">Rhythm</term>
                <term xml:lang="en">Tempo</term>
                <term xml:lang="en">MIDI</term>
                <term xml:lang="en">Instruments</term>
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              <p>Technology has had a remarkable influence on music. As society advances technologically, the music industry does as well. An example that illustrates the use of technology in music is the use of artificial intelligence (AI) as a creative and inspiring tool. Music helps shape emotional responses, creates a rhythm, and comments on the action. It is often a very crucial element to any experience. However, music, like any form of art, is an extremely challenging field to tackle using AI. The amount of information in a musical structure can be overwhelmingly large. If we factor in the different and unpredictable nuances invoked by human imperfection and emotion, it becomes clear why, even though AI excels at handling large amounts of data, generating good music can be very challenging, especially when it comes to Jazz and similarly complex genres.</p>
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