Efficient Frequency-Domain Filter Crossfading for Fast Convolution with Application to Binaural Synthesis

Franck A. Efficient Frequency-Domain Filter Crossfading for Fast Convolution with Application to Binaural Synthesis. In: AES Conference: 55th International Conference: Spatial Audio. Audio Engineering Society; 2014. Paper 3-1. Available from: https://aes.org/publications/elibrary-page/?id=17372

@inproceedings{Franck2014_17372,
  author = {Franck, Andreas},
  title = {{Efficient Frequency-Domain Filter Crossfading for Fast Convolution with Application to Binaural Synthesis}},
  booktitle = {AES Conference: 55th International Conference: Spatial Audio},
  note = {Paper 3-1},
  year = {2014},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17372}
}

TY  - CPAPER
TI  - Efficient Frequency-Domain Filter Crossfading for Fast Convolution with Application to Binaural Synthesis
AU  - Franck, Andreas
T2  - AES Conference: 55th International Conference: Spatial Audio
M1  - Paper 3-1
PY  - 2014
DA  - 2014/08/06
UR  - https://aes.org/publications/elibrary-page/?id=17372
PB  - Audio Engineering Society
LA  - en
AB  - Binaural synthesis of complex, dynamic acoustic scenes requires multiple convolution processes with time-varying head-related transfer functions (HRTFs). To avoid audible artifacts, this requires not only a position-dependent interpolation of HRTFs, but also smooth transitions during filter changes. Existing solutions either use gradual interpolation of filter coefficients or crossfading of filter outputs. This paper proposes a crossfading method that operates in the frequency domain, which enables integration with fast frequency-domain techniques such as overlap&save, uniformly or non-uniformly partitioned convolution. Fading is performed by circular convolution with a frequency-domain window function. A method is proposed to design such windows with only a few non-zero coefficients, resulting in significant complexity reductions compared to existing crossfading techniques. Further substantial efficiency improvements are achieved by integrating the proposed crossfading method into binaural rendering systems.
ER  -