An Algorithm for Efficiently Synthesizing Multiple Near-Field Virtual Sources in Dynamic Virtual Auditory Display

Xie B, Zhang C. An Algorithm for Efficiently Synthesizing Multiple Near-Field Virtual Sources in Dynamic Virtual Auditory Display. In: AES Convention 132. Audio Engineering Society; 2012. Paper 8646. Available from: https://aes.org/publications/elibrary-page/?id=16284

@inproceedings{Xie2012_16284,
  author = {Xie, Bosun and Zhang, Chengyun},
  title = {{An Algorithm for Efficiently Synthesizing Multiple Near-Field Virtual Sources in Dynamic Virtual Auditory Display}},
  booktitle = {AES Convention 132},
  note = {Paper 8646},
  year = {2012},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16284}
}

TY  - CPAPER
TI  - An Algorithm for Efficiently Synthesizing Multiple Near-Field Virtual Sources in Dynamic Virtual Auditory Display
AU  - Xie, Bosun
AU  - Zhang, Chengyun
T2  - AES Convention 132
M1  - Paper 8646
PY  - 2012
DA  - 2012/04/06
UR  - https://aes.org/publications/elibrary-page/?id=16284
PB  - Audio Engineering Society
LA  - en
AB  - An algorithm for efficiently synthesizing multiple near-field virtual sources in dynamic virtual auditory display (VAD) is proposed. Applying the method of principal component analysis, a set of measured near-field head-related impulse responses (HRIRs) for KEMAR manikin at various source directions and distances are decomposed into a weighted sum of fifteen time-domain basis functions along with a mean time-domain function, in which the time-independent weights represent the location dependence of HRIRs. Accordingly, multiple virtual sources synthesis at various locations is implemented by a common bank of sixteen filters representing the time -domain basis functions and the mean time-domain function, in which the adjustable gains of the filters for each input stimulus (as well as an overall gain and delay for each input stimulus) control intended source locations. The computational cost of the proposed algorithm is reduced compared with that of conventional ones. Psychoacoustic experiments via a dynamic VAD with head-tracking validate the performance of the proposed algorithm.
ER  -