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Multilingual Speech to Speech Translation for Under-Resourced Languages

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Speech Recognition Courses Artificial Intelligence Courses Transfer Learning Courses Computational Linguistics Courses

Course Description

Overview

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Explore the cutting-edge developments in Speech to Speech Translation (SST) for under-resourced languages in this comprehensive 3-hour lecture from the 2022 Frederick Jelinek Memorial Summer Workshop. Delve into the challenges and potential solutions for achieving seamless communication between speakers of different languages, with a focus on artificial intelligence applications. Examine recent advancements in Machine Translation, Speech Recognition, and Speech Translation, and learn how these technologies contribute to the broader goal of SST. Discover the innovative approach of creating a common multi-modal, multi-lingual representation space by gathering and sharing information across modalities and resource-rich languages. Understand how this approach can be leveraged for transfer learning to benefit under-resourced languages. Gain insights into the current state of SST research and its potential impact on breaking down language barriers worldwide.

Syllabus

Multilingual Speech to Speech Translation for Under Resourced Languages


Taught by

Center for Language & Speech Processing(CLSP), JHU

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