Benjamin Weiss – IRT Lab

How to get started with the Audio Definition Model

Benjamin Weiss — Thu, 20 Feb 2020 07:30:41 +0000

Audio is on the brink of the next big step after the transition from mono to stereo. Next Generation Audio (NGA) and especially object-based audio will provide the consumer with a lot of new features such as personalizable dialogue level. Check out this EBU website for an introduction into NGA and an overview of the ...

More open-source for open object-based audio workflows

Benjamin Weiss — Wed, 31 Jul 2019 06:03:57 +0000

Last year we released two open-source C++ libraries: libbw64 and libadm. Now that the ITU ADM (Audio Definition Model) Renderer (Recommendation ITU-R BS.2127-0) is published, we are adding another library to the list – the libear. The library is developed in cooperation with BBC R&D and published using the permissive Apache 2.0 license under the ...

EBU ADM Renderer Version 1.1 released

Benjamin Weiss — Wed, 05 Dec 2018 14:06:59 +0000

If you are a regular visitor of the IRT Lab, you already know the EBU ADM Renderer (EAR) – a renderer for Next Generation Audio content described by ADM metadata. The specification is published as EBU Tech 3388 and it is accompanied by an open source reference implementation written in the programming language Python. Now ...

ADM profiles for open object-based audio workflows

Benjamin Weiss — Wed, 31 Oct 2018 09:03:33 +0000

Our efforts to establish a Next Generation Audio (NGA) production workflow based on open standards is still ongoing. Next Generation Audio is designed to deliver highly adaptable audio for immersive, more personalized experiences and accessibility services. The Audio Definition Model (ADM) and the EBU ADM Renderer (EAR) are the backbone of the production workflow we ...

Open-source for open object-based audio workflows

Benjamin Weiss — Tue, 24 Jul 2018 14:16:03 +0000

Together with multiple other EBU members we developed the EBU ADM Renderer (EAR), a production renderer for audio described by ADM metadata. It is specified in EBU Tech 3388 and accompanied by an open-source reference implementation written in Python. Recently all the hard work we put into this project got rewarded: the EAR won the ...