{"title":"In Fleeting Visions: Deep Neural Music Fickle Play","authors":"S. Dubnov","doi":"10.1145/3325480.3329175","DOIUrl":null,"url":null,"abstract":"We describe a series of short music pieces that is generated in a semi-improvised manner by a computer, using deep representations and temporal memory model constructed from learning a corpus of piano works by Sergei Prokofiev. Inspired by Prokofiev's piece of a similar name, this work explores imaginative capabilities of generative music machine through a series of passing-by sonic visions triggered by fleeting activations of the underlying musical network from a musician performer input. Unlike most other common machine learning and neural music compositions that explore stylistic imitation, the impetus here is to provide a rainbow of unimagined possibilities enabling creative human intervention and interaction with a complex system, realized in a series of improvisations, each with a different form, texture and character.","PeriodicalId":415260,"journal":{"name":"Proceedings of the 2019 Conference on Creativity and Cognition","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 Conference on Creativity and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3325480.3329175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We describe a series of short music pieces that is generated in a semi-improvised manner by a computer, using deep representations and temporal memory model constructed from learning a corpus of piano works by Sergei Prokofiev. Inspired by Prokofiev's piece of a similar name, this work explores imaginative capabilities of generative music machine through a series of passing-by sonic visions triggered by fleeting activations of the underlying musical network from a musician performer input. Unlike most other common machine learning and neural music compositions that explore stylistic imitation, the impetus here is to provide a rainbow of unimagined possibilities enabling creative human intervention and interaction with a complex system, realized in a series of improvisations, each with a different form, texture and character.