This paper evaluates a previously proposed perceptual model predicting user's perceived distraction caused by interfering audio programs. The distraction model was originally trained using a simple sound reproduction system for music-on-music interference situations and it has not been formally tested using more complex sound systems. A listening experiment was conducted to evaluate the performance of the model, using music target and speech interferer reproduced by a complex personal sound-zone system. The model was found to successfully predict the perceived distraction of a more complex sound reproducing system with different target-interferer pairs than it was originally trained for. Thus, the model can be used as a tool for personal sound-zone evaluation and optimization tasks.
Authors:
Rämö, Jussi; Marsh, Steven; Bech, Søren; Mason, Russell; Jensen, Søren Holdt
Affiliations:
Aalborg University, Aalborg, Denmark; Bang & Olufsen, Struer, Denmark; University of Surrey, Guildford, Surrey, UK(See document for exact affiliation information.)
AES Convention:
141 (September 2016)
Paper Number:
9665
Publication Date:
September 20, 2016
Subject:
Perception
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.