Framework of Speech Translation

Speech and language technology is one of research directions in the National Laboratory of Pattern Recognition (NLPR). Now the research group of speech and language technology focuses on the fundamental problems and key techniques in the area of human language technology, and tries to make great contributions on the theoretical modeling, application system developing, and large scale corpus base building. The major activities include the following aspects: (1) Machine translation; (2) Information retrieval and extraction; (3) Text mining; (4) Speech recognition; (5) Speech synthesis; (6) Computational auditory scene analysis; (7) Affective computing; and (8) Multimedia integration.

Currently, there are 5 faculty members, 23 Ph.D. candidates, and 14 postgraduates working with the speech and language technology. Now we are taking charge of six projects supported by NSF, four projects supported by the National High-Technology (863) Program of China, one sub-task of 973 project, one project supported by Beijing NSF, one project supported by the National Key Technology R&D Program, and some projects in international cooperation as well.

 Web Site of the Speech and Language Technology Group