.jpg)
Tech Papers 2019: This paper evaluates how voice-controlled digital assistants impact radio services, presenting a prototype that offers personalized audio features and assessing user interaction with flexible voice-driven radio access.
Abstract
The paper evaluates the impact of voice-controlled digital assistants on the evolution of radio services, proposing to apply radio personalization, recommendation and content atomization techniques to the conversational interface. The paper introduces the relevance of smart speakers for radio, and then technically describes a prototype based on voice-controlled digital assistants providing a set of personalized audio services, like keyword-based Audio-On-Demand (AoD) search, semantic similarity search and content-based audio recommendations. A first analysis of the impact of semantically coherent audio segments with metadata, or audio atoms, is also included, leveraging on a subset of the available AoD archive.
Exclusive Content
This article is available with a Technical Paper Pass
Dynamic streaming content packaging with C2PA
Tech Papers 2026: This paper presents an implementation of the approach adopted by C2PA for live video to dynamic packaging.
.jpg)
Dynamic power control for sustainable broadcast transmitter networks
Tech Papers 2026: This paper proposes an approach that uses predictive modelling in combination with real-time interference monitoring to optimise transmitter powers dynamically, with minimal impact on the consumer.
.jpg)
A standardised framework for C2PA provenance in media workflows
Tech Papers 2026: This paper presents the first standardised framework for implementing C2PA for media provenance across newsrooms of varying sizes and operational contexts.
.jpg)
Building MXL together: Progress of the multi-vendor open-source media exchange SDK
Tech Papers 2026: This paper presents the Media eXchange Layer (MXL), an open-source SDK project hosted by the Linux Foundation in collaboration with the EBU and NABA.
.jpg)
Search first, inspect visually when needed: A multi-agent architecture for semantic video archival retrieval
Tech Papers 2026: This paper introduces Smart Chat, a multi-agent video question-answering system that searches indexed video moments, localizes candidate evidence, and inspects a short clip only when visual verification is needed.