کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
453495 694941 2013 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical speech translation system based on voice recognition optimization using multimodal sources of knowledge and characteristics vectors
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Statistical speech translation system based on voice recognition optimization using multimodal sources of knowledge and characteristics vectors
چکیده انگلیسی

Synergic combination of different sources of knowledge is a key issue for the development of modern statistical translators. In this work, a speech translation statistical system that adds additional other-than-voice information in a voice translation system is presented. The additional information serves as a base for the log-linear combination of several statistical models. We describe the theoretical framework of the problem, summarize the overall architecture of the system, and show how the system is enhanced with the additional information. Our real prototype implements a real-time speech translation system from Spanish to English that is adapted to specific teaching-related environments.


► The translation can be improved by adding new heuristic characteristics.
► Our speech translation statistical system adds additional information.
► Additional information is mixed with several statistical models.
► Our prototype implements a Spanish-to-English speech translation system.
► The translation system is adapted to specific teaching-related environments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Standards & Interfaces - Volume 35, Issue 5, September 2013, Pages 490–506
نویسندگان
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