对于视频流数据，第三种唇部特征的单词识别率明显高于其他两种唇部特征。
Video experiment results show that the third lip features has higher word recognition rates than the others.
在一个由1013个单词组成的样本中，这个系统的正确识别率达到98.41%，本文也会对这个系统可能潜在的应用加以讨论。
It was found that the system successfully identified 98.41% of words in a sample consisting of 1013 words. Potential applications of this system will also be discussed in this article.
另外，在单词识别系统识别率高的情况下，后处理的纠错能力会增强。
Additionally, a higher recognition precision of SCR (Single Character Recogniton) will yield a better performance of error correction of post-processing.
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