SoundSignature: What Type of Music Do You Like?
Brandon James Carone, Pablo Ripoll\'es

TL;DR
SoundSignature is an innovative music app that combines AI, MIR tools, and user interaction to analyze favorite songs, educate users on musical features, and provide personalized acoustic insights, enhancing musical understanding and engagement.
Contribution
The paper introduces a novel integrated system combining AI, MIR, and open-source tools for personalized music analysis and education, with a pilot usability study.
Findings
High user engagement and positive feedback from pilot study
Effective integration of MIR tools with AI for personalized insights
Enhanced user understanding of musical features
Abstract
SoundSignature is a music application that integrates a custom OpenAI Assistant to analyze users' favorite songs. The system incorporates state-of-the-art Music Information Retrieval (MIR) Python packages to combine extracted acoustic/musical features with the assistant's extensive knowledge of the artists and bands. Capitalizing on this combined knowledge, SoundSignature leverages semantic audio and principles from the emerging Internet of Sounds (IoS) ecosystem, integrating MIR with AI to provide users with personalized insights into the acoustic properties of their music, akin to a musical preference personality report. Users can then interact with the chatbot to explore deeper inquiries about the acoustic analyses performed and how they relate to their musical taste. This interactivity transforms the application, acting not only as an informative resource about familiar and/or…
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Taxonomy
TopicsMusic Technology and Sound Studies
