用于实时语音翻译的CMU可穿戴计算机

A. Smailagic, D. Siewiorek, Richard L. Martin, D. Reilly
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引用次数: 22

摘要

卡内基梅隆大学的可穿戴计算机实验室已经构建了四代实时语音翻译可穿戴计算机,最终实现了语音翻译智能模块。智能模块是一系列可互操作的模块,支持实时语音识别、语言翻译和语音合成。我们研究了各种设计因素对性能的影响,重点是模块化和可扩展性。描述了一种系统级的功率/性能优化方法,该方法通过四代将(性能/(重量*体积*功率))的度量提高了300倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMU wearable computers for real-time speech translation
Carnegie Mellon's Wearable Computers Laboratory has built four generations of real time speech translation wearable computers, culminating in the Speech Translator Smart Module. Smart Modules are a family of interoperable modules supporting real time speech recognition, language translation, and speech synthesis. We examine the effect of various design factors on performance with emphasis on modularity and scalability. A system level approach to power/performance optimization is described that improved the metric of (performance/(weight*volume*power)) by over a factor of 300 through the four generations.
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