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
Immersive reality unleashed: A three-layer convergence model for 6G, AI, and XR driven large-scale applications
Tech Papers 2026: This paper argues for a systems view: XR is becoming the spatial interface for work, while 6G is emerging as a sensing-, compute-, and AI-native network fabric.
.jpg)
Exploration of AI-assisted asset tools in VFX production pipelines
Tech Papers 2026: This paper presents an integrated workflow combining Unreal Engine with AI-assisted tools, targeting asset creation, digital set twin generation, and motion-captured animations through generative AI, computer vision, and 3D reconstruction.
.jpg)
Achieving low-latency playback and low-delay start-up with L3D-DASH
Tech Papers 2026: This paper investigates Low-Latency Low-Delay (L3D) DASH, a set of mechanisms introduced in the sixth edition of the MPEG-DASH standard that enable fine-grained access to media through partial segments in Segment Sequence Representations (SSRs).
.jpg)
Agentic AI for smart TV QA: A production field study across multiple platforms and languages
Tech Papers 2026: This paper examines how agentic AI can expand Smart TV test coverage by overcoming the maintenance limits of conventional automation in a constantly changing environment.
Testing streaming playback at scale: The CTA wave test suite with GenAI-assisted analysis
Tech Papers 2026: This paper examines how generative AI can transform the analysis of large-scale streaming tests, making failure investigation and reporting more efficient and systematic.
