Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey

April 10, 2022 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey"

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Authors Daniel Kvak arXiv ID 2204.04756 Category cs.SD: Sound Cross-listed cs.CY, cs.HC, eess.AS Citations 1 Venue arXiv.org Last Checked 4 days ago
Abstract
There are many applications that aim to create a complete model for an autonomously generated composition; systems are able to generate muzak songs, assist singers in transcribing songs or can imitate long-dead authors. Subjective understanding of creativity or aesthetics differs not only within preferences (popular authors or genres), but also differs on the basis of experienced experience or socio-cultural environment. So, what do we want to achieve with such an adaptation? What is the benefit of the resulting work for the author, who can no longer evaluate this composition? And in what ways should we evaluate such a composition at all?
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