VISR – A versatile open software framework for audio signal processing
VISR – A versatile open software framework for audio signal processing
Software plays an increasingly important role in spatial and object-based audio. Realtime and interactive rendering is often needed to subjectively evaluate and demonstrate algorithms, requiring significant implementation effort and often impeding the reproducibility of scientific research. In this paper we present the VISR (Versatile Interactive Scene Renderer) – a modular, open-source software framework for audio processing. VISR enables systematic reuse of DSP functionality, rapid prototyping in C++ or Python, and integration into the typical workflow of audio research and development from initial implementation and offline objective evaluation to subjective testing. This paper provides a practical, example-based introduction to the VISR framework. This is demonstrated with an interconnected example, from algorithm design and implementation, dynamic binaural auralization, to a subjective test.
Franck, Andreas
fa179b73-6a83-4c42-b300-81f1dfe9ef6d
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807
August 2018
Franck, Andreas
fa179b73-6a83-4c42-b300-81f1dfe9ef6d
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Franck, Andreas and Fazi, Filippo
(2018)
VISR – A versatile open software framework for audio signal processing.
Audio Engineering Society Conference on Spatial Reproduction, , Tokyo, Japan.
06 - 09 Aug 2018.
11 pp
.
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Conference or Workshop Item
(Paper)
Abstract
Software plays an increasingly important role in spatial and object-based audio. Realtime and interactive rendering is often needed to subjectively evaluate and demonstrate algorithms, requiring significant implementation effort and often impeding the reproducibility of scientific research. In this paper we present the VISR (Versatile Interactive Scene Renderer) – a modular, open-source software framework for audio processing. VISR enables systematic reuse of DSP functionality, rapid prototyping in C++ or Python, and integration into the typical workflow of audio research and development from initial implementation and offline objective evaluation to subjective testing. This paper provides a practical, example-based introduction to the VISR framework. This is demonstrated with an interconnected example, from algorithm design and implementation, dynamic binaural auralization, to a subjective test.
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Published date: August 2018
Venue - Dates:
Audio Engineering Society Conference on Spatial Reproduction, , Tokyo, Japan, 2018-08-06 - 2018-08-09
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Local EPrints ID: 425683
URI: http://eprints.soton.ac.uk/id/eprint/425683
PURE UUID: e25db785-aa22-4d69-b1a5-524e06671d6b
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Date deposited: 31 Oct 2018 17:30
Last modified: 16 Mar 2024 03:59
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Author:
Andreas Franck
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