首页 | 本学科首页   官方微博 | 高级检索  
     

实时说话人辨识系统中改进的DTW算法
引用本文:李邵梅,刘力雄,陈鸿昶. 实时说话人辨识系统中改进的DTW算法[J]. 计算机工程, 2008, 34(4): 218-219
作者姓名:李邵梅  刘力雄  陈鸿昶
作者单位:国家数字交换系统工程技术研究中心,郑州,450002
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。

关 键 词:说话人辨识  美尔倒谱系数  动态时间弯折
文章编号:1000-3428(2008)04-0218-02
收稿时间:2007-03-29
修稿时间:2007-03-29

Improved DTW Algorithm in Real-time Speaker Identification System
LI Shao-mei,LIU Li-xiong,CHEN Hong-chang. Improved DTW Algorithm in Real-time Speaker Identification System[J]. Computer Engineering, 2008, 34(4): 218-219
Authors:LI Shao-mei  LIU Li-xiong  CHEN Hong-chang
Affiliation:(National Digital Switching System Research Center, Zhengzhou 450002)
Abstract: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.
Keywords:speaker identification  Mel-frequency Cepstral Coefficient(MFCC)  Dynamic Time Warping(DTW)
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号