Deep learning for spoken language identification

Imagine that a tourist calls an emergency service speaking a foreign language. How to find a person that speaks the right language?  Or you have tons of multilingual television broadcasts in need of automatic translation or subtitling. Most current automatic speech recognition (ASR) and other language technology tools assume that the source language is known…

Automatic metadata high up in the mountains

The European Broadcasting Union EBU’s annual Metadata Network MDN Workshop 2019 was organised in June 2019 in Geneva. It gathered 88 experts from different media companies, research institutes and vendor companies to share latest experiences and ideas related to metadata in the media business.  Thematically related to MeMAD, many broadcasters are already working on automatic…

The members of the MeMad consortium posing in front of the University of Surrey

Putting the user in the center

In September, the MeMAD project gathered in Surrey for the fifth plenary meeting. As we’re about half-way through the project, we drilled down to the most central use cases and continued planning of the evaluation process in the final 18 months of MeMAD. With all of the pieces of the puzzle coming together, it was…

Analysing 1 million hours of French TV and radio for describing gender equality

MeMAD project MeMAD project aims at designing cutting-edge audiovisual media indexing methods. This work will meet the need for automatic procedures required for the management of large audiovisual collections, as well as media accessibility for the visually and hearing impaired. INA contributed to the MeMAD platform with a software module dedicated to audio analysis: music…