Abstract
This study explores the transformative role of artificial intelligence (AI) in enhancing home music listening experiences. We analyzed 96 academic papers to assess AI’s evolution, impact, and technological integration in-home music systems by integrating qualitative and quantitative research methods. Our findings highlight the extensive use of AI in personalizing music experiences through recommendation algorithms and adaptive audio processing, which have significantly improved user interaction and satisfaction. The research identified key trends in AI deployment, revealing a strong focus on enhancing accessibility and user engagement. However, the study also pinpointed substantial gaps, particularly in music’s emotional and contextual adaptation, suggesting potential areas for future development. This paper contributes to understanding AI’s pivotal role in evolving home music listening and proposes directions for future research to bridge identified gaps.
| Original language | English |
|---|---|
| Title of host publication | AM '24: Proceedings of the 19th International Audio Mostly Conference |
| Subtitle of host publication | explorations in sonic cultures |
| Editors | Luca Andrea Ludovico, Davide Andrea Mauro |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 318-324 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798400709685 |
| DOIs | |
| Publication status | Published - 18 Sept 2024 |
| Event | International Audio Mostly Conference (19th : 2024) - Milan, Italy Duration: 18 Sept 2024 → 20 Sept 2024 |
Conference
| Conference | International Audio Mostly Conference (19th : 2024) |
|---|---|
| Country/Territory | Italy |
| City | Milan |
| Period | 18/09/24 → 20/09/24 |
Bibliographical note
Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Artificial Intelligence
- Home Music Systems
- Music Personalization
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