This paper discusses workflows and processes to produce, distribute and deliver Next Generation Audio (NGA) experiences in live production scenarios.
The Audio Definition Model (ADM) is a metadata standard (ITU-R BS.2076) for describing the technical properties of audio and is particularly relevant for Next Generation Audio (NGA) experiences. Whilst support for file-based ADM metadata in software is increasing and production workflows are becoming well established, live ADM production is far less developed. There are many problems to solve in order to deploy live ADM workflows as a regular method of producing content.
There are two methods of utilising ADM in live or real-time applications. These are Serial ADM (S-ADM) and ADM-OSC (ADM Open Sound Control). To investigate the implementation of these technologies and the suitability and limitations of live ADM workflows in a broadcast scenario, a trial was proposed. This took place during the Eurovision Song Contest 2023 with the aim of implementing a live end-to-end Next Generation Audio broadcast chain using ADM.
This paper discusses the results of this trial, highlighting...
Exclusive Content
This article is available with a Technical Paper Pass
Opportunities for emerging 5G and wifi 6E technology in modern wireless production
This paper examines the changing regulatory framework and the complex technical choices now available to broadcasters for modern wireless IP production.
Leveraging AI to reduce technical expertise in media production and optimise workflows
Tech Papers 2025: This paper presents a series of PoCs that leverage AI to streamline broadcasting gallery operations, facilitate remote collaboration and enhance media production workflows.
Automatic quality control of broadcast audio
Tech Papers 2025: This paper describes work undertaken as part of the AQUA project funded by InnovateUK to address shortfalls in automated audio QC processes with an automated software solution for both production and distribution of audio content on premises or in the cloud.
Demonstration of AI-based fancam production for the Kohaku Uta Gassen using 8K cameras and VVERTIGO post-production pipeline
Tech Papers 2025: This paper details a successful demonstration of an AI-based fancam production pipeline that uses 8K cameras and the VVERTIGO post-production system to automatically generate personalized video content for the Kohaku Uta Gassen.
EBU Neo - a sophisticated multilingual chatbot for a trusted news ecosystem exploration
Tech Papers 2025: The paper introduces NEO, a sophisticated multilingual chatbot designed to support a trusted news ecosystem.