pda的实时语音到语音翻译

R. Prasad, K. Krstovski, F. Choi, S. Saleem, P. Natarajan, M. Decerbo, D. Stallard
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引用次数: 6

摘要

在本文中,我们提出了一个语音到语音的翻译系统配置的翻译沟通在英语和口语化伊拉克在移动,手持设备。端到端系统使用中/大词汇量n-gram语音识别引擎来识别英语和口语伊拉克语,使用问题规范化器将识别的英语问题或命令映射到系统中支持的问题之一,使用概念翻译引擎来翻译已识别的伊拉克语文本,使用文本到语音合成引擎将伊拉克语的英语翻译回放给说英语的人。除了描述系统架构和组件的功能外,我们还介绍了在低功耗硬件平台上实现低延迟、实时语音识别的优化技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Speech-to-Speech Translation for PDAs
In this paper we present a speech-to-speech translation system configured for translingual communication in English and colloquial Iraqi on a mobile, handheld device. The end-to-end system employs a medium/large vocabulary n-gram speech recognition engine for recognizing English and colloquial Iraqi, a question canonicalizer for mapping a recognized English question or command to one of the questions supported in the system, a concept translation engine for translating recognized Iraqi text, and a text-to-speech synthesis engine for playing back the English translation for the Iraqi to the English speaker. In addition to describing the system architecture and the functionality of the components, we present optimization techniques that enable low-latency, real-time speech recognition on low-power hardware platforms.
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