D. Moffat and M. Sandler, “Automatic Mixing Level Balancing Enhanced through Source Interference Identification,” in Proc. AES Convention 146, Mar. 2019, Paper 497. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20355
Moffat D, Sandler M. Automatic Mixing Level Balancing Enhanced through Source Interference Identification. In: AES Convention 146. Audio Engineering Society; 2019. Paper 497. Available from: https://aes.org/publications/elibrary-page/?id=20355
@inproceedings{Moffat2019_20355,
author = {Moffat, Dave and Sandler, Mark},
title = {{Automatic Mixing Level Balancing Enhanced through Source Interference Identification}},
booktitle = {AES Convention 146},
note = {Paper 497},
year = {2019},
month = mar,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20355}
}
TY - CPAPER
TI - Automatic Mixing Level Balancing Enhanced through Source Interference Identification
AU - Moffat, Dave
AU - Sandler, Mark
T2 - AES Convention 146
M1 - Paper 497
PY - 2019
DA - 2019/03/06
UR - https://aes.org/publications/elibrary-page/?id=20355
PB - Audio Engineering Society
LA - en
AB - 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.
ER -