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Vocalmetrics: an interactive software for visualization and classification of music

Published: 01 October 2014 Publication History

Abstract

Vocalmetrics is an interactive software tool that provides scientific techniques for interactive visualization and classification of musical data. The application supports the classification of music data as a pivotal aim of music education and analysis. The paper, in particular, introduces Vocalmetrics' prototype semantics and the egg cell metaphor. The former provides an intuitive and playful approach for exploring and classifying multidimensional musical data, whereas the latter is a direct manipulative interaction technique for rating features of musical data, particularly suitable for subjective assessments.

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  • (2017)Groenemeyer – A Case Study on Situative Singing StylesPopular Music Studies Today10.1007/978-3-658-17740-9_25(243-252)Online publication date: 31-Mar-2017

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      cover image ACM Other conferences
      AM '14: Proceedings of the 9th Audio Mostly: A Conference on Interaction With Sound
      October 2014
      219 pages
      ISBN:9781450330329
      DOI:10.1145/2636879
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 01 October 2014

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      Author Tags

      1. information visualization
      2. interaction
      3. music education
      4. musicology
      5. visual analytics

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      AM '14
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      • DOF
      AM '14: Audio Mostly 2014
      October 1 - 3, 2014
      Aalborg, Denmark

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      AM '14 Paper Acceptance Rate 29 of 49 submissions, 59%;
      Overall Acceptance Rate 177 of 275 submissions, 64%

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      • (2017)Groenemeyer – A Case Study on Situative Singing StylesPopular Music Studies Today10.1007/978-3-658-17740-9_25(243-252)Online publication date: 31-Mar-2017

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