摘要
本文就语音识别中的各种特征参数的性能,提取算法等进行了分析和比较。根据选择特征参数的主要依据,选择LPCC和ARAC作为基本特征参数和动态特征参数,并应用于一个维吾尔语语音识别系统中,取得了很好的识别结果。
In this paper,properties of vavious feature parameters in phonetic distin- guishment and obtainment algorithm are analyzed and compared. LPCC and ARAC are chosen as the basic feature paramenter and dynamic feature parameter, and also applied in the phonetic distinguishing system of Uygur language,and good distinguishing result has been obtained.
出处
《新疆师范大学学报(自然科学版)》
2000年第2期15-18,共4页
Journal of Xinjiang Normal University(Natural Sciences Edition)
基金
国家自然科学基金项目
关键词
语音信号特征
语音识别
特征提取
特征选择
Obtainment and choice Phonetic signal feature Uygur phonetic distin- guishment