Blog(1)

• [INTERSPEECH 2022 Series #4] Cross-Modal Decision Regularization for Simultaneous Speech Translation

  In today’s world of virtual meetings, conferences, and multi-media, automatic speech translation offers a wide variety of applications. Traditional offline speech translation models used a cascade of speech recognition and text translation. In our prior works [1], we developed efficient techniques for end-to-end speech translation which outperforms traditional cascaded approaches.

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Research Achievements(23)

• Cross-Modal Decision Regularization for Simultaneous Speech Translation

  AuthorMohd Abbas Zaidi, Beomseok Lee, Sangha Kim, Chanwoo Kim

  PublishedAnnual Conference of the International Speech Communication Association (INTERSPEECH)

  Date2022-09-18

• Deep Multivariate Domain Translation for Device Invariant Pulmonary Patient Identification from Cough and Speech Sounds

  AuthorMohsin Ahmed,Korosh Vatanparvar,Jilong Kuang,Alex Gao

  PublishedEngineering in Medicine and Biology Conference (EMBC)

  Date2022-07-11

• Language Model Augmented Monotonic Attention for Simultaneous Translation

  AuthorSathish Reddy Indurthi, Mohd Abbas Zaidi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim

  PublishedNorth American Chapter of the Association for Computational Linguistics (NAACL)

  Date2022-07-10

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News(5)

• Samsung Electronics Showcases Award-Winning Machine Translation at WMT

  At the Workshop on Machine Translation (WMT), one of the biggest events for machine translation research, Samsung Electronics joined the ranks of researchers from all over the world to discuss new and innovative ways to understand the human language using machines and computer programs.

• [Blog] [INTERSPEECH 2022 Series #4] Cross-Modal Decision Regularization for Simultaneous Speech Translation

  In today’s world of virtual meetings, conferences, and multi-media, automatic speech translation offers a wide variety of applications. Traditional offline speech translation models used a cascade of speech recognition and text translation. In our prior works [1], we developed efficient techniques for end-to-end speech translation which outperforms traditional cascaded approaches.

• This year SRPOL takes WAT 2021

  The Machine Translation team of Samsung R&D Institute Poland (SRPOL) has just written another chapter to its long history of development and improvement. This year SRPOL MT team has competed with the best, in a task where the goal was to translate between 10 Indian languages and English in both directions.

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Others(1)

• Samsung AI Forum 2018

  Seoul, September 12 ~ 13 Samsung AI Forum is an academic event for the foremost minds of today’s world to come together and share their views on the current and future development of Artificial Intelligence technology. saif videoPlay Registration * Registration has been closed early due to the maximum capacity. Participants Anyone with an interest in AI technology including undergraduate and graduate students, university faculty members, researchers, and members of ...