Multilingual Speech to Speech Translation for Under-Resourced Languages
Center for Language & Speech Processing(CLSP), JHU via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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