You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
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 signi?cant implementation effort and often impeding the reproducibility of scienti?c 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 work?ow of audio research and development from initial implementation and of?ine 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.
Author (s): Franck, Andreas; Fazi, Filippo Maria
Affiliation:
University of Southampton, Southampton, UK
(See document for exact affiliation information.)
Publication Date:
2018-07-06
Import into BibTeX
Session subject:
Spatial Audio; Rendering Software; Reproducible Research; Audio Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=19628
(454KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Franck, Andreas; Fazi, Filippo Maria; 2018; VISR—A Versatile Open Software Framework for Audio Signal Processing [PDF]; University of Southampton, Southampton, UK; Paper P9-2; Available from: https://aes2.org/publications/elibrary-page/?id=19628
Franck, Andreas; Fazi, Filippo Maria; VISR—A Versatile Open Software Framework for Audio Signal Processing [PDF]; University of Southampton, Southampton, UK; Paper P9-2; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19628