Linearly and Quadratically Constrained Least-Squares Decoder for Signal-Dependent Binaural Rendering of Ambisonic Signals

Schörkhuber C, Höldrich R. Linearly and Quadratically Constrained Least-Squares Decoder for Signal-Dependent Binaural Rendering of Ambisonic Signals. In: AES Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society; 2019.pp. 22:1-9. Available from: https://aes.org/publications/elibrary-page/?id=20422

@inproceedings{Schorkhuber2019_20422,
  author = {Schörkhuber, Christian and Höldrich, Robert},
  title = {{Linearly and Quadratically Constrained Least-Squares Decoder for Signal-Dependent Binaural Rendering of Ambisonic Signals}},
  booktitle = {AES Conference: 2019 AES International Conference on Immersive and Interactive Audio},
  pages = {22:1-9},
  year = {2019},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20422}
}

TY  - CPAPER
TI  - Linearly and Quadratically Constrained Least-Squares Decoder for Signal-Dependent Binaural Rendering of Ambisonic Signals
AU  - Schörkhuber, Christian
AU  - Höldrich, Robert
T2  - AES Conference: 2019 AES International Conference on Immersive and Interactive Audio
SP  - 1
EP  - 9
M1  - Paper 22
PY  - 2019
DA  - 2019/03/06
UR  - https://aes.org/publications/elibrary-page/?id=20422
PB  - Audio Engineering Society
LA  - en
AB  - Ambisonics has been widely adopted for conveying immersive audio experiences via headphone-based sound scene reproduction. It is well known, however, that the inherent reduction of spatial resolution of order-limited Ambisonic scenes leads to blurred source images, reduced spaciousness and direction-dependent timbral artifacts when rendered for binaural playback. Signal-dependent rendering methods aim to remedy these shortcomings by enhancing the spatial resolution using a set of estimated sound field parameters or by injecting decorrelated signals. It has been shown that such methods can indeed improve the spatial quality of the rendered signals, however, parameter estimation errors and decorrelator artifacts oftentimes introduce audible signal artifacts. In this work we propose a signal-dependent method for binaural rendering of Ambisonic signals based on a constrained least-squares decoder. The proposed method enables faithful reproduction of a direct and a diffuse signal per time-frequency tile requiring only a single sound field parameter and avoiding the need of injecting decorrelated signals.
ER  -