The Number of Virtual Loudspeakers and the Error for Spherical Microphone Array Recording and Binaural Rendering

Jiang J, Xie B, Mai H. The Number of Virtual Loudspeakers and the Error for Spherical Microphone Array Recording and Binaural Rendering. In: AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science. Audio Engineering Society; 2018. Paper PP-2. Available from: https://aes.org/publications/elibrary-page/?id=19610

@inproceedings{Jiang2018_19610,
  author = {Jiang, Jianliang and Xie, Bosun and Mai, Haiming},
  title = {{The Number of Virtual Loudspeakers and the Error for Spherical Microphone Array Recording and Binaural Rendering}},
  booktitle = {AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science},
  note = {Paper PP-2},
  year = {2018},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19610}
}

TY  - CPAPER
TI  - The Number of Virtual Loudspeakers and the Error for Spherical Microphone Array Recording and Binaural Rendering
AU  - Jiang, Jianliang
AU  - Xie, Bosun
AU  - Mai, Haiming
T2  - AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science
M1  - Paper PP-2
PY  - 2018
DA  - 2018/07/06
UR  - https://aes.org/publications/elibrary-page/?id=19610
PB  - Audio Engineering Society
LA  - en
AB  - Spherical microphone array recording and binaural rendering (SMARBR) is a spatial audio technique. It is implemented by firstly using Ambisonics (beamforming) scheme to decode the outputs of microphone array to the loudspeaker signals, and then further transferring the loudspeaker signals into binaural signals via virtual loudspeaker scheme. The present work evaluates the influence of number of loudspeakers on the error in binaural pressures for SMARBR. The results indicate that, for a given order of Ambisonics scheme, when the number of virtual loudspeakers exceeds the minimal requirement, on average, increasing number of virtual loudspeakers appropriately reduces the mean error around and above the high frequency limit imposed by spatial sampling theorem.
ER  -