Speech, being the most natural means of human interaction, can also be viewed as one of the most important modalities in complex human-machine interaction. State-of-the-art speech recognition technology still lacks robustness with respect to environmental conditions and speaking style. In addition, most research effort has been devoted to American English. The Coretex project aims at improving current technology by making it less sensitive to environment and linguistic factors, and more suitable to European languages. This will be achieved by fast system development and generic core technology; dynamic adaptation techniques and methods to enrich transcriptions. Evaluation and demonstration frameworks will be established to assess and illustrate improvement. An associated industrial user panel will have early access to project results and help to select the most pressing research issues and problems common to important application domains.
Our pick of the week by @lina97337786: "Towards a Deep Understanding of Multilingual End-to-End Speech Translation" by @hrsun42, @YikunLei et al., Findings EMNLP 2023.
#NLP #NLProc #EMNLP2023 #speech #translation #multilingual
🎉 AI-GAP workshop wrapped up yesterday!
Huge thanks to the participants, speakers, and organizers -- we were very happy, as you can see :)
@donatellado @BeatriceSavoldi @costanzalfieri @ECappu Clara Punzi & Laura State
🎊 I'm very happy to share that the paper "Direct Speech Translation for Automatic Subtitling" accepted by the #TACL journal is now published and available at:
#NLP #NLProc #subtitling #speech #translation
📢 @BeatriceSavoldi from @fbk_mt (@FBK_research) is co-organizing the AI GAP Workshop, held in collaboration with @Unipisa, @univaq, and @scuolanormale!
👉 Check the website for more information:
#AI #ArtificialIntelligence #AlgorithmicBias