计算机与数字工程2012，Vol.40Issue(5)：15-17,37,4.
基于聚类支持矢量机的汉语方言辨识
Chinese Dialect Identification Based on Clustered Support Vector Machine
夏玉果 1顾明亮2
作者信息
- 1. 江苏信息学院电子信息工程系 无锡214153
- 2. 徐州师范大学物理与电子工程学院 徐州221116
- 折叠
摘要
Abstract
A novel Chinese dialect identification method was presented to solve the poor decision ability existed in most dialect identification system. The new method firstly uses Gaussian mixture models and n-gram language models to produce a global language feature* and makes decision using clustered support vector machine. The experimental results show that this method not only raises correct identification rate greatly, but also improves the robustness of the system.关键词
方言辨识/支持矢量机/高斯混合模型Key words
dialect Identification/ support vector machine. Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
夏玉果,顾明亮..基于聚类支持矢量机的汉语方言辨识[J].计算机与数字工程,2012,40(5):15-17,37,4.
