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Artificial intelligence and home music listening: an overview and future directions

Trinity Melder, Richard Savery

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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    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 languageEnglish
    Title of host publicationAM '24: Proceedings of the 19th International Audio Mostly Conference
    Subtitle of host publicationexplorations in sonic cultures
    EditorsLuca Andrea Ludovico, Davide Andrea Mauro
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages318-324
    Number of pages7
    ISBN (Electronic)9798400709685
    DOIs
    Publication statusPublished - 18 Sept 2024
    EventInternational Audio Mostly Conference (19th : 2024) - Milan, Italy
    Duration: 18 Sept 202420 Sept 2024

    Conference

    ConferenceInternational Audio Mostly Conference (19th : 2024)
    Country/TerritoryItaly
    CityMilan
    Period18/09/2420/09/24

    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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