Fast Template Matching (FTM) is a very practical, effective realtime speech recognition algorithm, especially suitable for command recognition system.
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。
After an overview of phrase recognition, this paper proposes a Chinese phrase recognition method based on continuous speech recognition algorithm and phrase-tree constraint.
本文在简单介绍词组语音识别之后给出了一个基于连续语音识别算法和词树约束的汉语词组语音识别方法。
The results show that the speech recognition algorithm has high recognition rate, can reduce or eliminate noise caused by the training model and the mismatch between the speech test.
结果表明：所设计的语音识别算法有很高的识别率，能减小或者消除噪声所带来的训练模型和测试语音之间的失配。
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