Audio Analysis in Media Research: Insights & Demos on Use Case 4

This video showcases PAM (Partial Audio Matching), a tool developed by NISV as part of Use Case #4. PAM is designed for researchers to trace the reuse and combination of audio segments across different media programs. It tracks how audio from a source, such as a Covid-19 press conference, is reused in various target programs like news broadcasts, enabling detailed analysis of how information is propagated and framed.

By automating this tracking process, PAM saves time and opens up new research possibilities, complementing existing tools in the social sciences and humanities. The video demonstrates how researchers can use PAM to select a source program, identify target programs, and precisely analyse the reuse of audio segments, providing clear insights into media content dissemination.

Video chapters:
00:00 - Introduction to the Use Case – the Partial Audio Matching (PAM) for tracing the reuse and combination of audio segments
01:10 - DEMO - How Researchers Use PAM
02:05 - Key Components of PAM
02:37 - PAM Workflow Overview
03:10 - Further information

AI4Media implemented seven use cases in collaboration with European media organisations, showcasing AI's impact across the media industry value chain. These use cases address disinformation, news production, media moderation, audiovisual archives, game design, artistic co-creation, and social science research.

Learn more about this and the other use cases at: https://www.ai4media.eu/use-cases/