摘要
改进了传统的动态时间弯曲算法结构,将其应用到实时语音辨识系统中,并在计算机上进行了仿真。实验结果表明采用改进后的DTW算法有效地降低了待处理数据量和识别时间,提高了系统的运行速度。随着待识别语音信号数量的增多,该算法优势更加明显。
The traditional DTW algorithm＇s structure is improred and applied, and the algorithm in real-time voice recognition. The results from the simulation show that the improved DTW algorithm can reduce the amount of data to be processed and recognizing time effectively and provide a better performance. The advantage of the improved algorithm will be more obvious with the increasing number of the voice signal to be recognized.
出处
《科学技术与工程》
2010年第7期1652-1655,共4页
Science Technology and Engineering
基金
中国博士后科学基金(20080440923)
黑龙江省自然科学基金(F2007-11)
黑龙江省教育厅科研课题(11521005)资助
