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.
https://www.aes.org/e-lib/browse.cfm?elib=19530
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
The Engineering Briefs at this Convention were selected on the basis of a submitted synopsis, ensuring that they are of interest to AES members, and are not overly commercial. These briefs have been reproduced from the authors' advance manuscripts, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for their contents. Paper copies are not available, but any member can freely access these briefs. Members are encouraged to provide comments that enhance their usefulness.
Start a discussion about this paper!
