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Abstract

This paper introduces a novel web platform designed for exploration, analysis, and collaboration in the jazz music domain called JazzDAP. Our platform integrates advanced music information retrieval techniques with user-friendly interfaces, tailored for musicologists, archivists, and jazz enthusiasts. The platform employs a contour based algorithm for pattern recognition, enabling users to search for specific musical motifs, with filters based on metadata, e.g. artist, location and year of recording. Users can listen to audio sections or MIDI excerpts from the matches and delve into detailed metadata, including the years of recordings, prevalence of specific patterns, and information about the artists associated with them. Visualizations aid in uncovering trends, evolution, and connections in the development of jazz. A key innovation of our platform is the introduction of workflow objects, allowing users to save elements of interest accompanied by notes, named workflows, and engage in collaborative discussions. Users can use workflows to annotate, share insights, and communicate with each other, fostering a community-driven exploration of jazz music. This collaborative aspect enhances the platform's utility for researchers and enthusiasts alike, aiming to create a dynamic environment for the exchange of knowledge and discoveries. This paper outlines the platform's structure, highlights its key features, and presents preliminary user feedback. We believe that our work opens new avenues for the exploration and understanding of jazz music, offering a valuable resource for researchers, archivists, and enthusiasts passionate about the intricate patterns that shape the genre.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	Copyright © 2024 Owner/Author. This work is licensed under a Creative Commons Attribution International 4.0 License.
Publisher Keywords:	Digital Musicology, Jazz Music Archives, Music Information Retrieval, Music Metadata Exploration, Pattern Recognition in Music
Subjects:	M Music and Books on Music > M Music
Departments:	School of Science & Technology School of Science & Technology > Computer Science
SWORD Depositor:	Symplectic Administrator

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