This brief’s aim is to present a work in progress on an automatic equalization algorithm. The algorithm’s particular design, based on a parametric equalizer rather than inverse filtering, presents certain advantages as well as certain challenges. Being conceived and developed together with sound engineers, it is meant to mimic human decisions in filter choices. This necessitates a careful analysis of a sound engineer’s workflow and a search for algorithmic solutions that correspond to decisions based on listening, experience and personal preference.

Authors: Sinev, Daniil; Rossi-Ferrari, Guillaume
Affiliations: ARKAMYS, Paris, France; Le Mans University, Le Mans, France(See document for exact affiliation information.)
AES Convention: 144 (May 2018) eBrief:417
Publication Date: May 14, 2018
Subject: Applications & Audio Education

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

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.