第十二篇 No.12:

The Comprehensive Application of Vmus.net for Musical Performance Studies

 

ABSTRACT

There are two main difficulties in applying empirical approaches such as MIR (Music Information Retrieval) methods in music research. The first is the complexity of the related software and the other is the integration between empirical findings and musicological context. To solve these problems, an easy-to-use online application Vmus.net is introduced with three typical examples combining visualization methods such as IOI deviation and dynamic curve, tempo-dynamic curve, and performance worm with sensible musical and historical considerations. Compared with similar desktop software, Vmus.net is a relatively compact tool still under construction with a growing number of users and datasets. It is presumed that simplifying the analytical process and providing printer-friendly charts for direct quoting might help to persuade more researchers to deeply embed the relevant technology in their musicological investigations[1].

CCS CONCEPTS

  • General and reference ~ Empirical studies
  • Information Systems ~ Music retrieval
  • Human-centered computing ~ Visual analytics

KEYWORDS

Vmus.net, IOI Deviation, Tempo-dynamic Curve, Performance Worm, Musical Performance Studies

1 INTRODUCTION

In the past few decades, empirical approaches have been widely used in musicological research especially in more practice-based fields such as Musical Performance Studies. There are various kinds of software which can be used to analyze and visualize music recordings including universal DAW (Digital Audio Workstation) such as Reaper and special software such as Sonic Visualiser. But these tools, although well designed, are sometimes still a little too sophisticated for those music or musicology students with limited experience of related software, not to mention the inevitable trend to increasingly replace desktop applications with their web/cloud-based equivalents.

 

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