Community

AES Convention Papers Forum

Subjective Evaluation of an Equalization Method for Loudspeakers Based on Random Parametric Optimization of IIR Filters

Document Thumbnail

In this paper a subjective evaluation of a novel method for loudspeaker equalization is presented. The equalization is performed using a direct method with random parametric optimization for the design of a bank of second order peak filters, RaPOSOS. The subjective evaluation has been carried out using a preselected jury composed by lecturers, research staff and university students related with audio engineering. For evaluating its performance, it has been compared with other well known equalization method using the ABX test. In particular, our method with different level of approximation has been compared with long FIR filters obtained by minimum square error criteria. The results show that with relatively low order filters, the perceived difference is anecdotic or inexistent, requiring quite less computational cost.

Authors:
Affiliations:
AES Convention: Paper Number:
Publication Date:
Subject:

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.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

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.

AES - Audio Engineering Society