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Convention Paper

A Knowledge-Engineered Autonomous Mixing System

Authors: De Man, Brecht; Reiss, Joshua D.

AES Convention 135 · Paper 8961 · October 2013

Abstract

In this paper a knowledge-engineered mixing engine is introduced that uses semantic mixing rules and bases mixing decisions on instrument tags as well as elementary, low-level signal features. Mixing rules are derived from practical mixing engineering textbooks. The performance of the system is compared to existing automatic mixing tools as well as human engineers by means of a listening test, and future directions are established.

Details

Published in
AES Convention 135
AES Convention
135
Paper number
8961
Publication date
October 6, 2013
Session subject
Recording and Production
Affiliation
Queen Mary University of London, London, UK (See document for exact affiliation information.)
Type
Convention Paper