The aim of the here developed new taxonomies is to describe the components involved in the quality process of Auditory Virtual Environments (AVE), and to quantify the relations between them for different applications. The taxonomy should allow an overview and identify the relations which are most important in the software development process and the design of listening experiments. For the first time the multivariate relations between the Quality Elements in the physical domain and the Quality Features in the perceptual domain of such a Quality Taxonomy are evaluated for three different AVE applications. This evaluation and quantification is done by means of an expert survey (DELPHI method) to objectify the results. Principal Component Analysis reveals that five dimensions are necessary to describe about 95% of the variance in the data. This indicates that the selected seven Quality Features are clearly distinguishable for the experts, but not orthogonal to each other. Most of the Quality Features are introduced meaningful terms in the audio engineering field and therefore usable without training for the participating experts. The results of the expert survey are compared to listening test results, which use the same Quality Features. The bottom line is that the expert survey is not only a much faster method to get a good overview about a specific application as compared to the listening test, but it also reveals more information about it.
Author:
Silzle, Andreas
Affiliation:
Ruhr-Universität Bochum
AES Convention:
122 (May 2007)
Paper Number:
6993
Publication Date:
May 1, 2007
Subject:
Spatial Audio Perception and Processing
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.