汉语孤立字声调的模糊识别方法

A Fuzzy Recognition Approach to Tone Classification of Chinese Isolated Words

本文应用模糊集合来识别汉语孤立字的声调。孤独字的四声调可被描述成四种模式类的模糊集合。由于四声调的基音轮廓具有其固定模式,因之在此基础上可构成模糊集合的隶属函数。方法中使用隶属函数为模式分类的判别函数。这些隶属函数既简单又易于计算,故适宜实对执行。实验结果表明,总的识别率高于99％。

This paper presents a tone recognition method of Chinese isolated words using fuzzy sets. The four tones are considered as four fuzzy sets which describe the four pattern classes. Since the pitch contours of the four tones have their distinct patterns, they are used as the basis to construct the membership functions of the four fuzzy sets. The tone recognition algorithm uses these membership functions as their pattern classification decision functions. These functions are simple, easy to compute, and therefore, suitable for real-time implementation. The over-all recognition accuracy is above 99% in our experiments.