The PF-STAR project intended to contribute to establish future activities in the field of multisensorial and multilingual communication (interface technologies) on firmer bases by providing technological baselines, comparative evaluations, and assessment of prospects of core technologies, which future research and development efforts can build from. To this end, the project addressed three crucial areas: technologies for speech-to-speech translation, the detection and expressions of emotional states, and core speech technologies for children. For each of them, promising technologies/approaches were selected, further developed and aligned towards common baselines. The results were assessed and evaluated with respect to both their performances and future prospects. To maximise the impact, the duration of the project was limited to 24 months, and the workplan was designed to delivered results in two stages: at mid-project term (month 14), and at the end of the project. This permitted to make relevant results available as soon as possible, and in particular on time for them to be used during the preparatory phase of the first call of FP6. The Lehrstuhl für Informatik 6 was involved in the comparative evaluation and further development of speech translation technologies. The statistical approach was compared to an interlingua based approach. After the evaluation phase, the two approaches were further developed and aligned towards common baselines. PF-STAR was supported by the European Union.
More great news! 🎉
Our paper “Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution” was accepted at #Interspeech2025!
Interested in interpretability for speech models? Preprint coming soon!
✍🏼 @mgaido91, @negri_teo, M.Cettolo, @luisabentivogli
Our pick of the week by @BeatriceSavoldi: "Lost in Translation: Artificial Intelligence and the Demand for Foreign Language Skills" by @pmllanos and @carlbfrey (2025)
#AI #translation #MT
Super interesting preprint on the relation between MT improvements and the demand for foreign language skills #pickoftheweek @fbk_mt 📚https://www.oxfordmartin.ox.ac.uk/publications/lost-in-translation-artificial-intelligence-and-the-demand-for-foreign-language-skills
SHADES: a global dataset to uncover AI bias
Over 50 researchers, 16 languages, thousands of interactions analysed: the international SHADES project investigates how generative language models (LLM) reproduce and amplify cultural stereotypes
◾https://magazine.fbk.eu/en/news/shades-the-new-global-dataset-to-monitor-as-ai-reproduces-and-invents-cultural-stereotypes/
🎉 Excited to share our paper “Different Speech Translation Models Encode and Translate Speaker Gender Differently” was accepted at #ACL2025 (main)!
✍🏼 Big thanks to amazing co-authors: @mgaido91, @negri_teo, @luisabentivogli, @andre_t_martins, @peppeatta!
📄 Preprint out soon!