它匹配了用户的声音模式，以记录代表14种不同情感类型的语音样本。
It matches the user's voice patterns to recorded speech samples that represent 14 different emotional categories.
本文介绍了如何运用SA算法实现语音模式的快速匹配的思想。
This paper investigates how to use SA algorithm to realize the idea of quick match for the speech pattern.
这些经典的语音识别算法是基于模式匹配的方法实现，这使其在语音分类中的性能受到挑战，尤其是在对相近的中文姓名语音的分类中。
These classic algorithms are based on pattern matching, this causes decline of the performance especially in classification of similar Chinese name speech patterns.
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