Music Creation by Example

要旨

Short online videos have become the dominating media on social platforms. However, finding suitable music to accompany videos can be a challenging task to some video creators, due to copyright constraints, limitations in search engines, and required audio-editing expertise. One possible solution to these problems is to use AI music generation. In this paper we present a user interface (UI) paradigm that allows users to input a song to an AI engine and then interactively regenerate and mix AI-generated music. To arrive at this design, we conducted user studies with a total of 104 video creators at several stages of our design and development process. User studies supported the effectiveness of our approach and provided valuable insights about human-AI interaction as well as the design and evaluation of mixed-initiative interfaces in creative practice.

キーワード
Music Generation
Artificial Intelligence
Mixed-Initiative Interaction
Algorithmic Composition
著者
Emma Frid
KTH Royal Institute of Technology, Stockholm, Sweden
Celso Gomes
Adobe Research, Seattle, WA, USA
Zeyu Jin
Adobe Research, San Francisco, CA, USA
DOI

10.1145/3313831.3376514

論文URL

https://doi.org/10.1145/3313831.3376514

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Music & sound experiences

Paper session
317AB KAHO'OLAWE
5 件の発表
2020-04-29 01:00:00
2020-04-29 02:15:00
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