Music Generation with A.I.
| 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.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.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3437 | |
| 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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