AINEVA is the association of Italian regions and autonomous provinces which include Alps, whose goal is to coordinate efforts that local members play in the prevention and information in the field of snow and avalanches. On a daily basis, AINEVA members compile and make available bulletins of conditions and avalanche forecasts written in Italian. In order to allow their consultation to non-Italian people (e.g. foreign tourists), AINEVA members provide translations of original bulletins into languages such as English, French, German and Slovenian. AINEVA and FBK started a 20-month collaboration at the end of 2009 with the goal of developing a system for the automatic translation of such bulletins into English, French and German.
Our pick of the week by @FBKZhihangXie: "Adversarial Speech-Text Pre-Training for Speech Translation" by Chenxuan Liu, Liping Chen, Weitai Zhang, Xiaoxi Li, Peiwang Tang, Mingjia Yu, Sreyan Ghosh, and Zhongyi Ye (ICASSP 2025)
#speech #speechprocessing #speechtech #translation
π AdvST: Adversarial training aligns speech and text distributions without parallel data! Combines adversarial learning + hidden-state swapping to fix length mismatch & boost low-resource speech translation. https://ieeexplore.ieee.org/document/10888294
A special evening in Rome to talk about Physical AI and Europeβs role in shaping this new frontier.
Partners from across Europe came together to present the DVPS project, and connect with key people from public institutions, embassies, industries, national & international media.
Thrilled to be part of this amazing project and team!
π DVPS has launched at Translated's HQ!
70 researchers from 20 institutions across 9 countries unite to build next-gen multimodal foundation models that learn from real-world interaction.
A new European AI journey begins.
#DVPS #PhysicalAI #HorizonEurope #MultimodalAI
Our pick of the week by @FBKZhihangXie: "PHRASED: Phrase Dictionary Biasing for Speech Translation" by Peidong Wang, Jian Xue, Rui Zhao, @ChenJunkun, Aswin Shanmugam Subramanian, and Jinyu Li (2025).
#Speech #SpeechAI #Translation #ST #SpeechTranslation
π Boost rare-phrase translation in speech! Uses **bilingual dictionaries** to dynamically bias outputs.
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**+21%** recall in streaming ST
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**+85%** in multimodal LLMs
π: http://arxiv.org/abs/2506.09175