The project ATLAS created the technological bridge between cognitive sciences and the most progressive information technologies. The project was patronized by the region of Piedmont and financed by the program of development of innovative services and it gave the possibility to deaf people to look and understand programs of mass media through automatic translation from the Italian written language into the sign language (LIS) which is visualized a virtual actor created by computer animation drawing means. Through these tools the project achieved the aim to give the possibility to deaf people to understand television programs, WEB pages and films reproduced on DVD by the virtual translator personated in time which can be visualized on different types of display from television screen to computer, from mobile phones to PDAs.
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