The TOSCA-MP project aimed to develop user-centric content annotation and search tools for professionals in networked media production and archiving (television, radio, online), addressing their specific use cases and workflow requirements. The project brought together 10 partners from 6 European countries including industry partners providing solutions for the media industry, public service broadcasters as well as their European association, a university and research centres. TOSCA-MP investigated scalable and distributed content processing methods performing advanced multimodal information extraction and semantic enrichment. Other key technology areas included search methods across heterogeneous networked content repositories and novel user interfaces. An open standards based service oriented framework integrated the components of the system.
New benchmark evaluates π #AI detection tools across languages, π finding performance gaps π in low-resource languages and challenges β οΈ with distinguishing AI-translated and hybrid humanβAI text.
@jasonslucas1 @adaku_uchendu @penn_state @Visa
π Call for Participation: @iwslt Offline Speech Translation 2026
Break language barriers with new languages & real-world scenarios + a brand new source-language agnostic speech translation track π
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Evaluation: Apr 1β15
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#IWSLT2026 #SpeechAI
π Call for Participation: @iwslt Model Compression 2026
Make large multilingual foundation models small β‘ without losing power in ENβDE/ZH speech-to-text translation.
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Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #Qwen2 #EfficientAI
π Call for Participation: @iwslt Subtitling 2026
Turn speech into ready-to-watch subtitles π¬ across TV, News & YouTube!
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Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #MultimodalAI