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J. Ford, M. Cartwright, and B. Pardo, "MixViz: A Tool to Visualize Masking in Audio Mixes," Paper 9443, (2015 October.). doi: J. Ford, M. Cartwright, and B. Pardo, "MixViz: A Tool to Visualize Masking in Audio Mixes," Paper 9443, (2015 October.). doi:
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.

@article{ford2015mixviz:,
author={ford, jon and cartwright, mark and pardo, bryan},
journal={journal of the audio engineering society},
title={mixviz: a tool to visualize masking in audio mixes},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},} @article{ford2015mixviz:,
author={ford, jon and cartwright, mark and pardo, bryan},
journal={journal of the audio engineering society},
title={mixviz: a tool to visualize masking in audio mixes},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},
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.},}

TY - paper
TI - MixViz: A Tool to Visualize Masking in Audio Mixes
SP - EP -
AU - Ford, Jon
AU - Cartwright, Mark
AU - Pardo, Bryan
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015 TY - paper
TI - MixViz: A Tool to Visualize Masking in Audio Mixes
SP - EP -
AU - Ford, Jon
AU - Cartwright, Mark
AU - Pardo, Bryan
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015
AB - 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.