The project includes technology transfer activities from FBK-irst to Pervoice and development activities such as improvements of automatic transcription technology (rich transcription, automatic text polishing), speech analytics technologies for call centers (emotional state recognition, segmentation and classification of utterances, monitoring of transactions), and advanced acoustic normalization techniques.
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!