Flexible Python Tool for Dynamic Binaural Synthesis Applications

Neidhardt A, Klein F, Knoop N, Köllmer T. Flexible Python Tool for Dynamic Binaural Synthesis Applications. In: AES Convention 142. Audio Engineering Society; 2017. Paper 346. Available from: https://aes.org/publications/elibrary-page/?id=18721

@inproceedings{Neidhardt2017_18721,
  author = {Neidhardt, Annika and Klein, Florian and Knoop, Niklas and Köllmer, Thomas},
  title = {{Flexible Python Tool for Dynamic Binaural Synthesis Applications}},
  booktitle = {AES Convention 142},
  note = {Paper 346},
  year = {2017},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18721}
}

TY  - CPAPER
TI  - Flexible Python Tool for Dynamic Binaural Synthesis Applications
AU  - Neidhardt, Annika
AU  - Klein, Florian
AU  - Knoop, Niklas
AU  - Köllmer, Thomas
T2  - AES Convention 142
M1  - Paper 346
PY  - 2017
DA  - 2017/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18721
PB  - Audio Engineering Society
LA  - en
AB  - In this report, we present an open source tool for real-time dynamic binaural synthesis implemented in Python on top of PyAudio. The core is an efficient implementation of the uniformly partitioned convolution with the overlap-save approach. The dynamic and interactive reproduction of spatial audio scenes has become a common requirement in science and industry. Use cases are various, reaching from listening tests considering head rotation to complex reproduction scenarios for augmented or virtual reality, e.g., in combination with head mounted displays. With Python as a flexible and easy to learn programming language, PyBinSim offers great value in research and teaching of binaural synthesis. Source code, examples and documentation are available online.
ER  -