Critical but often overlooked research questions in artificial intelligence (AI) applied to music involve the impact of the results for music. How and to what extent does such research contribute to the domain of music? How are the resulting models useful for music practitioners? In this article, we describe how we are addressing such questions by engaging composers, musicians, and audiences with our research. We first describe two websites we have created that make our AI models accessible to a wide audience. We then describe a professionally recorded album that we released to expert reviewers to gauge the plausibility of AI-generated material. Finally, we describe the use of our AI models as tools for co-creation. Evaluating AI research a...
Machine learning is challenging the way we make music. Although research in deep generative models h...
In this work, we provide a comprehensive survey of AI music generation tools, including both researc...
https://aimc2023.pubpub.org/pub/zd46ltn3 In this paper, we present a framework for understanding hu...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
Artificial intelligence (AI) is going through a period of renewed interest and success thanks to the...
The recent proliferation of commercial software claiming ground in the field of music AI has provide...
Artificial intelligence tools now offer an understanding of a few of the issues that previously perp...
International audienceThis article presents a five-year collaboration situated at the intersection o...
https://aimc2023.pubpub.org/pub/vjk7vtco How valuable really is the application of artificial intel...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
National audienceThis paper presents a prototypical computational framework for music computing appr...
In this chapter, I present a pragmatic, critical, and sometimes speculative view of what Machine Lea...
Artificial intelligence has been deployed to create competent music. Learning algorithms have been t...
Machine learning is challenging the way we make music. Although research in deep generative models h...
In this work, we provide a comprehensive survey of AI music generation tools, including both researc...
https://aimc2023.pubpub.org/pub/zd46ltn3 In this paper, we present a framework for understanding hu...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
Artificial intelligence (AI) is going through a period of renewed interest and success thanks to the...
The recent proliferation of commercial software claiming ground in the field of music AI has provide...
Artificial intelligence tools now offer an understanding of a few of the issues that previously perp...
International audienceThis article presents a five-year collaboration situated at the intersection o...
https://aimc2023.pubpub.org/pub/vjk7vtco How valuable really is the application of artificial intel...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
National audienceThis paper presents a prototypical computational framework for music computing appr...
In this chapter, I present a pragmatic, critical, and sometimes speculative view of what Machine Lea...
Artificial intelligence has been deployed to create competent music. Learning algorithms have been t...
Machine learning is challenging the way we make music. Although research in deep generative models h...
In this work, we provide a comprehensive survey of AI music generation tools, including both researc...
https://aimc2023.pubpub.org/pub/zd46ltn3 In this paper, we present a framework for understanding hu...