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신호의 복원된 위상 공간을 이용한 오디오 상황 인지

A new approach technique on Speech-to-Speech Translation

  • ;
  • 이승룡 (유비쿼터스 컴퓨팅 연구실, 컴퓨터 공학과, 경희대학교) ;
  • Le, Thanh Hien (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee Univerisity) ;
  • Lee, Sung-young (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee Univerisity) ;
  • Lee, Young-Koo (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee Univerisity)
  • 발행 : 2009.11.13

초록

We live in a flat world in which globalization fosters communication, travel, and trade among more than 150 countries and thousands of languages. To surmount the barriers among these languages, translation is required; Speech-to-Speech translation will automate the process. Thanks to recent advances in Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS), one can now utilize a system to translate a speech of source language to a speech of target language and vice versa in affordable manner. The three phase process establishes that the source speech be transcribed into a (set of) text of the source language (ASR) before the source text is translated into the target text (MT). Finally, the target speech is synthesized from the target text (TTS).

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