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11-733: Multilingual Speech-to-Speech Translation Lab/Seminar Department: Language Technologies Institute (LTI) Units: 6 Semester: Fall Instructors: Alan Black , Stephan Vogel Prerequisites: Instructor consent Course webpage Course description: Building speech-to-speech translation systems (S-2-S) is an extremely complex task, involving research in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), as well as Text-to-Speech (TTS) and doing this for many languages doesn't make it easier. Although substantial progress has been made in each of these areas over the last years, the integration of the invididual ASR, MT, NLU, and TTS components to build a good S-2-S system is still a very challenging task. The seminar course on Multilingual Speech-to-Speech Translation will cover important recent work in the areas of ASR, MT, NLU, and TTS with a special focus on language portable approaches and discuss solutions for rapidly building state-of-the-art speech-to-speech translation systems. In the beginning sessions the instructors and other invited lecturers will give a brief introduction into the broad field. We will select papers on particular topics to read by each week. While everyone will do all readings and participate in the discussions, one person is assigned per session to present the basic ideas of the topic specific papers and lead the concluding discussion. |
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