Beomseok Lee

PhD Student

    Short bio

    Beomseok Lee is a PhD student at the University of Trento, conducting research at Fondazione Bruno Kessler and NAVER LABS Europe.

    Before starting his PhD, Beomseok worked as a full-time research engineer at SAMSUNG Research (Samsung Electronics R&D hub) Global AI Center, Seoul where he specialized in End-to-end (E2E) Speech-to-text translation. His current research focuses on E2E Spoken Language Understanding with an emphasis on multi-task, multi-lingual and multi-modal approaches. He holds a Computer Science (CS) Master's degree from Korea Advanced Institute of Science & Technology (KAIST, Korea) and a CS Bachelor's degree from Sungkyunkwan University (SKKU, Korea).

    Research topics

    Spoken Language Understanding, Multi-modality

    Publications

    1. Lee, Beomseok; Calapodescu, Ioan; Gaido, Marco; Negri, Matteo; Besacier, Laurent,
      Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond,
      in «»,
      Proceedings of Interspeech2024,
      ,
      vol. ,
      n. ,
      2024
      , pp. 817-
      821

    MT Group at FBK Follow

    #MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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    fbk_mt MT Group at FBK @fbk_mt ·
    14 Feb

    Our pick of the week by @mgaido91: "AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM" by @RuchaoFan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, Jinyu Li (2024).

    #NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm

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    ai4culture AI4Culture @ai4culture ·
    12 Feb

    AI is transforming cultural heritage, but what have we learned?

    Come and join the #AI4Culture movement at our Final Conference on March 10 in Hilversum to explore AI’s current & future impact on cultural heritage.

    Details & Registration: https://pretix.eu/EFHA/AI4Culture/

    @EU_HaDEA

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    costajussamarta Marta R. Costa-jussa @costajussamarta ·
    8 Feb

    BOUQuET💐: an OPEN INITIATIVE aimed at building an evaluation dataset for massively multilingual text-to-text MT.

    Let’s make MT available for any written language!

    We are inviting everyone to contribute: ➡️

    More details at: https://arxiv.org/abs/2502.04314

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    sarapapi Sara Papi @sarapapi ·
    4 Feb

    I am happy to announce that I will speak about our recent work "How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?" at the SlatorCon in March 🎊

    📃 Preprint available here:

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