Spatial Audio Coding with Backward-Adaptive Singular Value Decomposition

Zamani S, Rose K. Spatial Audio Coding with Backward-Adaptive Singular Value Decomposition. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10119. Available from: https://aes.org/publications/elibrary-page/?id=19845

@inproceedings{Zamani2018_19845,
  author = {Zamani, Sina and Rose, Kenneth},
  title = {{Spatial Audio Coding with Backward-Adaptive Singular Value Decomposition}},
  booktitle = {AES Convention 145},
  note = {Paper 10119},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19845}
}

TY  - CPAPER
TI  - Spatial Audio Coding with Backward-Adaptive Singular Value Decomposition
AU  - Zamani, Sina
AU  - Rose, Kenneth
T2  - AES Convention 145
M1  - Paper 10119
PY  - 2018
DA  - 2018/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19845
PB  - Audio Engineering Society
LA  - en
AB  - The MPEG-H 3D Audio standard applies singular value decomposition (SVD) to higher-order ambisonics data, and divides the outcome into prominent and ambient sound components, which are then separately encoded. We recently showed that significant compression gains are achievable by moving the SVD to the frequency domain, and ensuring smooth transition between frames. Frequency domain SVD also enables SVD adaptation to frequency, but the increase in side information, to specify additional basis vectors, compromises the gains. This paper overcomes this shortcoming by introducing backward adaptive estimation of SVD basis vectors, at no cost in side information, thereby approaching the full potential of frequency domain SVD. Objective and subjective tests show considerable gains that validate the effectiveness of the proposed approach.
ER  -