There exist many different methods to gather subjective equalization preference data from listeners. From one method to another there are generally tradeoffs between speed, accuracy, and ease of use. In this study four different types of test were compared to see which tests performed the best in each of these categories. The purpose was to select the best methods for headphone personalization applications for mobile devices. All four tests involve test subjects setting filter gain values for bass and treble shelving filters, and thus selecting their preferred response curves for listening to music through headphones. The results of each test, the time taken to complete them, and the ease of use based on a post-test questionnaire are presented.
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.
