Sound Field Recording and Reproduction Using Transform Filter Designed in Spatio-Temporal Frequency Domain

Koyama S, Furuya K, Hiwasaki Y, Haneda Y. Sound Field Recording and Reproduction Using Transform Filter Designed in Spatio-Temporal Frequency Domain. In: AES Convention 131. Audio Engineering Society; 2011. Paper 8544. Available from: https://aes.org/publications/elibrary-page/?id=16070

@inproceedings{Koyama2011_16070,
  author = {Koyama, Shoichi and Furuya, Ken'ichi and Hiwasaki, Yusuke and Haneda, Yoichi},
  title = {{Sound Field Recording and Reproduction Using Transform Filter Designed in Spatio-Temporal Frequency Domain}},
  booktitle = {AES Convention 131},
  note = {Paper 8544},
  year = {2011},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16070}
}

TY  - CPAPER
TI  - Sound Field Recording and Reproduction Using Transform Filter Designed in Spatio-Temporal Frequency Domain
AU  - Koyama, Shoichi
AU  - Furuya, Ken'ichi
AU  - Hiwasaki, Yusuke
AU  - Haneda, Yoichi
T2  - AES Convention 131
M1  - Paper 8544
PY  - 2011
DA  - 2011/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16070
PB  - Audio Engineering Society
LA  - en
AB  - A method of transform from the received signals of a microphone array to the driving signals of a loudspeaker array for sound field reproduction is investigated. Our objective is to obtain the driving signal of a planar or linear loudspeaker array only from the sound pressure distribution acquired by a planar or linear microphone array. We derive a formulation of the transform from the received signals of the microphone array to the driving signals of the loudspeaker array. The transform is achieved as the mean of a filter in a spatio-temporal frequency domain. Results of measurement experiments in an anechoic room are presented to compare the proposed method with the method based on the conventional least mean square algorithm. The reproduction accuracies were found to be almost the same, but the filter size and amount of calculation required for the proposed method were much smaller than those for the least mean square algorithm based one.
ER  -