Naslov
Data-Driven Generative Live Coding for Music Creation

Autori
Kreković, Gordan ; Pošćić, Antonio

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
2nd Conference on AI Music Creativity (AIMC 2021)

Mjesto i datum
Online, 18.07.2021. - 22.07.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Live Coding ; Artificial Intelligence ; Machine Learning ; Generative Art ; Computer Art

Sažetak
Live coding, as a practice of computer programming used to create music and digital media, represents a novel and relevant form of contemporary artistic practice. The notion of automating the process of live coding entails interesting philosophical, conceptual, and technical questions. While touching upon all these implications, this paper focuses on design decisions and technical aspects as responds to artistic requirements on such a generative, interactive system intended for generating computer code as makeshift music scores. With the existing assortment of techniques for algorithmic composition and text generation, one of the challenges was selecting the most appropriate approach for the task. We noticed a strong interdependence between material (a base corpus of source code) and the process (the generative algorithm) which motivated a novel, hybrid approach that targeted both the required systematization of the corpus and devising a custom algorithmic solution.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Glazbena umjetnost

POVEZANOST RADA