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.
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https://aes2.org/publications/elibrary-page/?id=19530
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