实时说话人辨识系统中改进的DTW算法  

Improved DTW Algorithm in Real-time Speaker Identification System

作　　者：李邵梅[1] 刘力雄[1] 陈鸿昶[1] 

机构地区：[1]国家数字交换系统工程技术研究中心,郑州450002

出　　处：《计算机工程》2008年第4期218-219,共2页Computer Engineering

基　　金：国家自然科学基金资助项目(60372038)

摘　　要：识别正确率和抗噪性能是语音识别的研究重点,而识别响应速度也是决定系统实用化的关键。文章改进了传统的动态时间弯折算法结构,将其应用于实时说话人辨识系统中,极大地提高了系统运行速度,随着待识别语音数目的增多,该算法优势更加明显。实验表明,在不影响系统识别率的情况下,该方法使系统的运行速度平均提高了1.5倍。Response rate of recognition is a key factor for a speech recognition system as well as recognition correct rate and noise robust property. This paper improves the conventional DTW algorithm＇s structure, and fastens the running speed in real-time speaker identification. The advantage of the new algorithm is more obvious with the increment of speeches. Experiments show that the method can increase the operation speed by 1.5 times.

关 键 词：说话人辨识 美尔倒谱系数 动态时间弯折 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]