Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio

Vilkamo J, Bäckström T, Kuntz A. Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio. J Audio Eng Soc. 2013;61(6):403-411. Available from: https://aes.org/publications/elibrary-page/?id=16831

@article{Vilkamo2013_16831,
  author = {Vilkamo, Juha and Bäckström, Tom and Kuntz, Achim},
  title = {{Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio}},
  journal = {Journal of the Audio Engineering Society},
  volume = {61},
  number = {6},
  pages = {403--411},
  year = {2013},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16831}
}

TY  - JOUR
TI  - Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio
AU  - Vilkamo, Juha
AU  - Bäckström, Tom
AU  - Kuntz, Achim
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 61
IS  - 6
SP  - 403
EP  - 411
PY  - 2013
DA  - 2013/06/06
UR  - https://aes.org/publications/elibrary-page/?id=16831
PB  - Audio Engineering Society
LA  - en
AB  - This research proposes a generalized and optimized framework for time–frequency processing of spatial audio using a signal covariance matrix. This framework is relevant for a wide variety of spatial applications, such as perceptual spatial coding, stereo upmixing, decorrelation, and so on. The matrix, which represents interchannel dependencies, is perceptually relevant for the transmission of the listener’s spatial experience. In a typical application, the original time–frequency covariance matrix is transformed into the target matrix, optimizing the sound quality using a least mean square metric. In an example of upmixing stereo music, informal listening tests confirmed the validity of the framework.
ER  -