J. Merimaa, M. M. Goodwin, and J.-M. Jot, “Correlation-Based Ambience Extraction from Stereo Recordings,” in Proc. AES Convention 123, Oct. 2007, Paper 7282. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14339
Merimaa J, Goodwin MM, Jot JM. Correlation-Based Ambience Extraction from Stereo Recordings. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7282. Available from: https://aes.org/publications/elibrary-page/?id=14339
@inproceedings{Merimaa2007_14339,
author = {Merimaa, Juha and Goodwin, Michael M. and Jot, Jean-Marc},
title = {{Correlation-Based Ambience Extraction from Stereo Recordings}},
booktitle = {AES Convention 123},
note = {Paper 7282},
year = {2007},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14339}
}
TY - CPAPER
TI - Correlation-Based Ambience Extraction from Stereo Recordings
AU - Merimaa, Juha
AU - Goodwin, Michael M.
AU - Jot, Jean-Marc
T2 - AES Convention 123
M1 - Paper 7282
PY - 2007
DA - 2007/10/06
UR - https://aes.org/publications/elibrary-page/?id=14339
PB - Audio Engineering Society
LA - en
AB - One of the key components in current multichannel upmixing techniques is identification and extraction of ambience from original stereo recordings. This paper describes correlation-based ambience extraction within a time-frequency analysis-synthesis framework. Two new estimators for the time- and frequencydependent amount of ambience in the input channels are analytically derived. These estimators are discussed in relationship to two other algorithms from the literature and evaluated with simulations. It is also shown that the time constant used in a recursive correlation computation is an important factor in determining the performance of the algorithms. Short-time correlation estimates are typically biased such that the amount of ambience is underestimated.
ER -