MixViz: A tool to visualize masking in audio mixes

Jon Ford*, Mark Cartwright, Bryan A Pardo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents MixViz, a real-time audio production tool that helps users visually detect and eliminate masking in audio mixes. This work adapts the Glasberg and Moore time-varying Model of Loudness and Partial Loudness to analyze multiple audio tracks for instances of masking. We extend the Glasberg and Moore model to allow it to account for spatial release from masking effects. Each audio track is assigned a hue and visualized in a 2-dimensional display where the horizontal dimension is spatial location (left to right) and the vertical dimension is frequency. Masking between tracks is indicated via a change of color. The user can quickly drag and drop tracks into and out of the mix visualization to observe the effects on masking. This lets the user intuitively see which tracks are masked in which frequency ranges and take action accordingly. This tool has the potential to both make mixing easier for novices and improve the efficiency of expert mixers.

Original languageEnglish (US)
Title of host publication139th Audio Engineering Society International Convention, AES 2015
PublisherAudio Engineering Society
StatePublished - Jan 1 2015
Event139th Audio Engineering Society International Convention, AES 2015 - New York, United States
Duration: Oct 29 2015Nov 1 2015

Other

Other139th Audio Engineering Society International Convention, AES 2015
CountryUnited States
CityNew York
Period10/29/1511/1/15

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Modeling and Simulation

Fingerprint Dive into the research topics of 'MixViz: A tool to visualize masking in audio mixes'. Together they form a unique fingerprint.

  • Cite this

    Ford, J., Cartwright, M., & Pardo, B. A. (2015). MixViz: A tool to visualize masking in audio mixes. In 139th Audio Engineering Society International Convention, AES 2015 Audio Engineering Society.