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Exploring Music Collections: An Interactive, Dimensionality Reduction Approach to Visualizing Songbanks

Published: 17 March 2020 Publication History

Abstract

This is an overview paper on an interactive music exploration interface for music collections. This interface is meant to help explore the cross-cultural similarities, interactions, and patterns of music excerpts from different regions and understand the similarities by employing computational audio analysis, machine learning, and visualization techniques. In our computational analysis, we used standard audio features that capture timbre information and projected them onto a lower-dimensional space for visualizing the (dis)similarity. There are two collections of non-Eurogenetic music under study. The 2-D and 3-D mappings are visualized through a dashboard application and also rendered in Virtual Reality space where users can interact and explore to get meaningful insights about the structural (dis)similarities of the music collections.

References

[1]
Joseph B Kruskal and Myron Wish. 1978. Multidimensional scaling. Number 07-011 in Sage University Paper series on quantitative applications in the social sciences.
[2]
Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, Nov (2008), 2579--2605.
[3]
Konstantinos Trochidis, Beth Russell, Andrew Eisenberg, Kaustuv Kanti Ganguli, Oscar Gomez, Christos Plachouras, Carlos Guedes, and Virginia Danielson. 2019. Mapping the Sounds of the Swahili coast and the Arab Mashriq: Music research at the intersection of computational analysis and cultural heritage preservation. (2019).

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  • (2022)SOUND OF(F): Contextual Storytelling Using Machine Learning Representations of Sound and MusicArtsIT, Interactivity and Game Creation10.1007/978-3-030-95531-1_23(332-345)Online publication date: 10-Feb-2022

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  1. Exploring Music Collections: An Interactive, Dimensionality Reduction Approach to Visualizing Songbanks

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      cover image ACM Conferences
      IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
      March 2020
      153 pages
      ISBN:9781450375139
      DOI:10.1145/3379336
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 17 March 2020

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      Author Tags

      1. Computational analysis
      2. Ethnomusicology
      3. Interface design
      4. Virtual reality
      5. Visualization techniques

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      Overall Acceptance Rate 746 of 2,811 submissions, 27%

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      Cited By

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      • (2022)SOUND OF(F): Contextual Storytelling Using Machine Learning Representations of Sound and MusicArtsIT, Interactivity and Game Creation10.1007/978-3-030-95531-1_23(332-345)Online publication date: 10-Feb-2022

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