Music Generation with A.I.

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dc.contributor.author Jamkhandikar, Irfan
dc.contributor.author Prajapati, Deepak (17CO22)
dc.contributor.author Sonde, Ashraf (17CO51)
dc.contributor.author Shaha, Sufyan (17CO52)
dc.date.accessioned 2021-10-25T06:22:20Z
dc.date.available 2021-10-25T06:22:20Z
dc.date.issued 2021-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/3437
dc.description.abstract Today in the world of growing technology the domain of artificial intelligence is the pioneer. There are majority of the advancements and applications of Artificial Intelligence that we hear about refer to a category of algorithms known as Machine Learning. Self-learning algorithms use statistics to draw models from huge amounts of data. Machine learning is able to make very precise assumptions about what we do, about the next activity we might want to do. Alongside visual art and creative writing, musical composition is another core act of creativity that we consider to be uniquely human. We will create a model that will generate completely new music. en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.subject Project Report - CO en_US
dc.title Music Generation with A.I. en_US
dc.type Other en_US


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