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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.
Author (s): Neidhardt, Annika; Klein, Florian; Knoop, Niklas; Köllmer, Thomas
Affiliation:
Technical University of Ilmenau, Ilmenau, Germany
(See document for exact affiliation information.)
AES Convention: 142
Paper Number:346
Publication Date:
2017-05-06
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Session subject:
Spatial Audio—Binaural
Permalink: https://aes2.org/publications/elibrary-page/?id=18721
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Neidhardt, Annika; Klein, Florian; Knoop, Niklas; Köllmer, Thomas; 2017; Flexible Python Tool for Dynamic Binaural Synthesis Applications [PDF]; Technical University of Ilmenau, Ilmenau, Germany; Paper 346; Available from: https://aes2.org/publications/elibrary-page/?id=18721
Neidhardt, Annika; Klein, Florian; Knoop, Niklas; Köllmer, Thomas; Flexible Python Tool for Dynamic Binaural Synthesis Applications [PDF]; Technical University of Ilmenau, Ilmenau, Germany; Paper 346; 2017 Available: https://aes2.org/publications/elibrary-page/?id=18721