藏语孤立词语音识别系统研究  

Research on Tibetan Isolated-word Speech Recognition System

作　　者：姚徐[1] 李永宏[1] 单广荣[1] 于洪志[1] 

机构地区：[1]西北民族大学中国民族语言文字信息技术重点实验室,甘肃兰州730030

出　　处：《西北民族大学学报（自然科学版）》2009年第1期29-36,50,共9页Journal of Northwest Minzu University(Natural Science)

基　　金：国家自然科学基金项目(60773052);研究生创新项目(YCX08053)

摘　　要：藏语语音研究相当滞后,文章结合语音识别知识和藏语特点,尝试性地研究了藏语孤立词语音识别研究.首先提取MFCC参数作为语音特征参数,形成语音模板库,采用DTW模型实现了语音识别系统,并且针对藏语孤立词多音节的特点,改进了传统的基于短时能量和短时过零率双门限检测法,即加入了音节间静音段时长门限,提高了孤立词语音信号检测的准确性和识别率.So far, the study of Tibetan speech has not reached higher level. By combining the knowledge of speech recognition and feature of Tibetan, Tibetan speech recognition were explored and studied through regarded Tibetan as isolated words in the present thesis. The paper considered Tibetan as isolated word, which with polysyllable feature, improved old detective method, double - threshold detection method that is based on short - time energy and zero - crossing rate, the new detection method has been introduced length of mute stage among syllables, the method can improve speech signal detect of isolated words in both sides, namely accuracy and recognition rate.

关 键 词：藏语 孤立词 语音识别 DTW 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]