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Robust Continuous Speech Recognition Technology Program Summary

机译:稳健的连续语音识别技术计划摘要

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摘要

The major objective of this program is to develop and demonstrate robust, high performance continuous speech recognition (CSR) techniques focussed on application in Spoken Language Systems (SLS) which will enhance the effectiveness of military and civilian computer-based systems. A key complementary objective is to define and develop applications of robust speech recognition and understanding systems, and to help catalyze the transition of spoken language technology into military and civilian systems, with particular focus on application of robust CSR to mobile military command and control. The research effort focusses on developing advanced acoustic modelling, rapid search, and recognition-time adaptation techniques for robust large-vocabulary CSR, and on applying these techniques to the new ARPA large-vocabulary CSR corpora and to military application tasks.
机译:该计划的主要目的是开发和演示健壮的,高性能的连续语音识别(CSR)技术,重点是在口语系统(SLS)中的应用,这将提高基于军事和民用计算机系统的效率。一个关键的补充目标是定义和开发健壮的语音识别和理解系统的应用程序,并帮助促进口语技术向军事和民用系统的过渡,特别是将健壮的CSR应用于移动军事指挥与控制。研究工作集中于开发用于健壮的大词汇量CSR的高级声学建模,快速搜索和识别时间自适应技术,并将这些技术应用于新的ARPA大词汇量CSR语料库和军事应用任务。

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