DRNN聚类学习的性能使得它非常适用于与在线学习方式相结合的实时语音识别系统。
The property of clustering learning of the DRNN makes it very suitable for real-time speech recognition with on-line learning ability.
快速模板匹配(FTM)是一种非常实用高效的实时语音识别算法，尤其适用于命令识别系统。
Fast Template Matching (FTM) is a very practical, effective realtime speech recognition algorithm, especially suitable for command recognition system.
基于Google的现有自动翻译系统，新开发的软件将利用语音识别系统来翻译实时对话。
Based on Google's existing software for automatically converting websites and documents into a different language, it would use a voice recognition system to translate real-time speech.
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