In this article, a model that predicts the transparency of mixdowns is proposed. The Masked-to-Unmasked-Ratio relates the original loudness of an instrument to its loudness in the mix. In order to assess this new measure a listening test was conducted. It has been shown that instruments with a Masked-to-Unmasked-Ratio of 10 % or smaller are critical in mixdowns because most of them cannot be identified adequately. The newly suggested model is to be used in automatic mixdown algorithms and as an evaluating measure in future development whenever masking scenarios are to be described.

Authors: Aichinger, Philipp; Sontacchi, Alois; Schneider-Stickler, Berit
Affiliations: Medical University of Vienna, vienna, Austria; University of Music and Performing Arts Graz, Graz, Austria(See document for exact affiliation information.)
AES Convention: 130 (May 2011) Paper Number: 8344
Publication Date: May 13, 2011 Import into BibTeX
Subject: Production and Broadcast
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15811

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 130Papers)   /130/8344.pdf

Start a discussion about this paper!