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Music and artificial intelligence
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<p>Music and artificial intelligence (music and AI) is the development of <a href="/facts/Music_software/pFUSU4df">music software</a> programs which use <a href="/facts/Artificial_intelligence/lJGauQwX">AI</a> to generate music. As with applications in other fields, AI in music also simulates mental tasks. A prominent feature is the capability of an AI algorithm to learn based on past data, such as in computer accompaniment technology, wherein the AI is capable of listening to a human performer and performing accompaniment. Artificial intelligence also drives interactive composition technology, wherein a computer composes music in response to a live performance. There are other AI applications in music that cover not only music composition, production, and performance but also how music is marketed and consumed. Several music player programs have also been developed to use voice recognition and natural language processing technology for music voice control. Current research includes the application of AI in <a href="/facts/Musical_composition/EUR2qaQw">music composition</a>, <a href="/facts/Performance/LoPW1hxp">performance</a>, theory and digital <a href="/facts/Audio_signal_processing/HXvBpspA">sound processing</a>. Composers/artists like <a href="/facts/Jennifer_Walshe/3A2h7TvD">Jennifer Walshe</a> or <a href="/facts/Holly_Herndon/Ffn1YDJF">Holly Herndon</a> have been exploring aspects of music AI for years in their performances and musical works. Another original approach of humans “imitating AI” can be found in the 43-hour sound installation <i><a href="/facts/String_Quartet(s)/D9Y5bqNC">String Quartet(s)</a></i> by <a href="/facts/Georges_Lentz/L260mboV">Georges Lentz</a> (see interview with <a href="/facts/ChatGPT-4/ptB1y6J5">ChatGPT-4</a> on music and AI). </p><p>20th century art historian <a href="/facts/Erwin_Panofsky/KRhpHSkP">Erwin Panofsky</a> proposed that in all art, there existed three levels of meaning: primary meaning, or the natural subject; secondary meaning, or the conventional subject; and tertiary meaning, the intrinsic content of the subject. AI music explores the foremost of these, creating music without the "intention" which is usually behind it, leaving composers who listen to machine-generated pieces feeling unsettled by the lack of apparent meaning. </p>