基于知识和模糊决策的连续语音的约束匹配

Constrained Matching for Continuous Speech Recognition Based on Knowledge and Fuzzy Strategy

提出了一种用于连续语音识别和理解的约束匹配方法,该方法的核心是基于句法、语义、构词等知识的引导,以若干种统计特征参数和声学匹配结果作为依据进行匹配路径的模糊决策。介绍了基于这种匹配方法的一个连续汉语语音识别与理解系统的构成情况及有关的知识源组成方法,并给出了能用程序实现的约束匹配算法。根据实验结果讨论了该方法的主要特点。

A new constrained matching method is proposed for continuous Chinese speech recognition and understanding. Directed by knowledge of morphology, syntax and semantics, the method utilizes several kinds of statistical parameters and accoustic matching results to make fuzzy strategy for matching paths. A continuous Chinese speech reoognition and understanding system based on the method is described. The paper also presents the formation of various kinds of knowledge source and gives the algorithm of the constrained matching. The performace of the method is discussed through recognition experiments.