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It has been well established that equal loudness normalization can produce a perceptually appropriate level balance in an automated mix. Previous work assumes that each captured track represents an individual sound source. In the context of a live drum recording this assumption is incorrect. This paper will demonstrate an approach to identify the source interference and adjust the source gains accordingly, to ensure that tracks are all set to equal perceptual loudness. The impact of this interference on the selected gain parameters and resultant mixture is highlighted.
Author (s): Moffat, Dave; Sandler, Mark
Affiliation:
Queen Mary University London, London, UK
(See document for exact affiliation information.)
AES Convention: 146
Paper Number:497
Publication Date:
2019-03-06
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Session subject:
E-Brief Poster Session 1
Permalink: https://aes2.org/publications/elibrary-page/?id=20355
(320KB)
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Moffat, Dave; Sandler, Mark; 2019; Automatic Mixing Level Balancing Enhanced through Source Interference Identification [PDF]; Queen Mary University London, London, UK; Paper 497; Available from: https://aes2.org/publications/elibrary-page/?id=20355
Moffat, Dave; Sandler, Mark; Automatic Mixing Level Balancing Enhanced through Source Interference Identification [PDF]; Queen Mary University London, London, UK; Paper 497; 2019 Available: https://aes2.org/publications/elibrary-page/?id=20355