摘要
通过对DTW算法的研究,提出了一种并行分段裁剪的新方法,在减少DTW算法运算量方面有显著效果,并将其用于一个地名识别系统中,经测试,可以明显缩短识别时间,具有很强的实时性,有较高的识别率,适合作为小型语音识别产品的主要算法。
Through the research to Dynamic Time Warping （DTW） algorithm,a new algorithm named segment cutting in parallel about reducing DTW algorithm operation quantity is described.It has the remarkable effect in the place name recognition system. After tests,we find it may greatly reduce the recognition time and has strict real time requirement and high recognition accuracy. The arithmetic is suited for designing a small speech recognition production.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第15期35-36,88,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60265001)
云南大学中青年骨干教师基金。
关键词
语音识别
DTW
模板匹配
并行分段裁剪
speech recognition
DTW
template matching
segment cutting in parallel
