Introduction

The speaker introduces the problem of having too many news sources and not enough time to analyze them. They propose a solution that involves analyzing multiple news sources in their original language and delivering it in the user's desired language.

SELMA: A Solution for Analyzing Multiple News Sources

• The speaker explains that this problem is not unique to journalism but is especially prevalent in this field.

• SELMA is introduced as a solution for analyzing multiple news sources and delivering it in the user's desired language.

• SELMA can provide users with global news perspectives from different parts of the world almost in real-time.

• SELMA can handle huge content streams by transcribing, translating, voice-overing, and subtitling them accurately and impactfully.

• Michelle, a voice-over produced by SELMA, is introduced.

• SELMA features a self-learning AI system that collects and analyzes large volumes of information to create a cross-lingual common space.

Project Partners

The speaker discusses the five partners involved in the project.

Five Partners Involved

• There are five partners involved in the project: Deutsche Welle, Avignon University, University of Latvia, Priberam, and Fraunhofer Gesellschaft.

Challenges Faced by Media Industry

The speaker discusses five specific challenges faced by the media industry that SELMA can help with.

Five Specific Challenges Faced by Media Industry

• SELMA can help create podcasts and subtitle videos.

• Voice-overing is made easier than ever before with SELMA.

• SELMA offers several media analysis tools to keep an eye on the news.

• To stay up-to-date with the latest news, users can connect with SELMA on Twitter, Github, and Linkedin.