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FCMBP聚类法在语音识别和模糊控制中的应用
引用本文:何清,徐树富,王加银,史忠植.FCMBP聚类法在语音识别和模糊控制中的应用[J].系统工程学报,2001,16(6):430-437.
作者姓名:何清  徐树富  王加银  史忠植
作者单位:1. 中国科学院计算技术所智能信息处理开放实验室,北京,100080
2. 北京师范大学教学系,北京,100875
基金项目:国家自然科学基金资助项目(69674014; 60173017); 北京市自然科学基金资助项目(4011003).
摘    要:首先从理论上证明了FCMBP模糊聚类方法,即基于摄动的模糊聚类方法,比传递闭包法失真小;其次,用例子说明这两种聚类方法的聚类结果并不总是相同,有时还会产生本质差异;再次,提出用FCMBP模糊聚类方法设立语音模式的参考向量集来进行语音识别,该方法能提高语音识别的正确率;最后,利用FCMBP模糊聚类方法滤除量测数据对中的噪声,再用这些处理过的数据构造模糊控制规则,从而是达到模糊控制规则的优化。

关 键 词:模糊聚类  语音识别  模糊控制  噪声滤出  FCMBP
文章编号:1000-5781(2001)06-0430-08
修稿时间:2000年3月19日

FCMBP clustering methods and its applications in speech recognition and fuzzy control
HE Qing ,XU Shu-fu ,WANG Jia-yin ,SHI Zhong-zhi.FCMBP clustering methods and its applications in speech recognition and fuzzy control[J].Journal of Systems Engineering,2001,16(6):430-437.
Authors:HE Qing  XU Shu-fu  WANG Jia-yin  SHI Zhong-zhi
Institution:HE Qing 1,XU Shu-fu 2,WANG Jia-yin 2,SHI Zhong-zhi 1
Abstract:First, it is proved that the FCMBP fuzzy clustering methods, i.e. fuzzy clustering methods based on perturbation, have smaller error than transitive closure methods. Second, it is first pointed that their clustering results are not always the same by example. Moreover, there are differences between them in nature. Third, the FCMBP fuzzy clustering methods are used to speech recognition. The methods can improve the correct rate of speech recognition. Finally, the FCMBP fuzzy clustering methods are applied to filtering the noise in datum. After filtering the noise, the datum is using to construct fuzzy control rules. So the fuzzy control rules are optimized.
Keywords:fuzzy clustering  speech recognition  fuzzy control  noise filtering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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