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Speech to speech translation: a communication boon

机译:语音到语音翻译:交流的福音

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An average person speaks 11000–25000 words per day making speech the most common way of expressing ourselves. Be it a conversation, dialogue, speech, presentations or any general talks, we use speech to make other as well as ourselves understand thoughts and actions. If either of the side is unaware of the language of communication, the cycle will be incomplete. Hence we need a system that can bridge this language barrier. Speech to speech translation is one such system that can play important role by facilitating communication between persons speaking different languages. Worldwide efforts are being made to achieve this goal and implement it practically for use by common man. The present paper describes a major international and inter-institutional effort in this direction—in which an attempt is being made to automate speech translation among 23 Asian, Middle East and European languages including Hindi through a consortium project led by NICT Japan [1, 2]. The three key modules namely Speech Recognition, Language Translation and Speech Synthesis required for Hindi are being designed, developed and implemented by CDAC, Noida as Indian counterpart in the project. The language specific technology and the parallel corpora and the speech unit (segmental) database developed have been described. Technical details of this first ever effort, modules and their performance in the communication system have been discussed.
机译:一个普通的人每天会说11000–25000个单词,这使讲话成为表达自己的最常见方式。无论是对话,对话,演讲,演讲或任何一般性演讲,我们都通过演讲使他人以及我们自己理解思想和行动。如果双方都不知道交流的语言,则该循环将是不完整的。因此,我们需要一个可以弥合这种语言障碍的系统。语音到语音翻译就是这样一种系统,它可以通过促进说不同语言的人之间的交流来发挥重要作用。为了实现该目标并在实际中实施以供普通人使用,世界范围内正在做出努力。本文描述了朝着这个方向进行的一项重大的国际和机构间合作,其中包括通过NICT Japan牵头的一个财团项目,试图在包括印地语在内的23种亚洲,中东和欧洲语言之间实现语音翻译的自动化[1、2 ]。印地语所需的三个关键模块,即语音识别,语言翻译和语音合成,正在由CDAC,Noida作为该项目的印度合作伙伴进行设计,开发和实施。已经描述了语言特定技术以及开发的并行语料库和语音单元(段)数据库。已经讨论了有史以来第一次努力的技术细节,模块及其在通信系统中的性能。

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