earticle

영어

Based on local and global constrains, an improved DTW algorithm was proposed in this paper. Firstly, the collected voice data was trained, so the reference template and the test template are constructed by computing the MFCC feature parameters for the training data and the test data, and furthermore, the DTW algorithm was designed according to the local and global constrains. Finally, the proposed DTW algorithm was used to the pattern matching for the reference and test templates. The experimental results show that the proposed algorithm has the remarkable effect in reducing the recognition time and enhancing the recognition accuracy.

중국어

本文基于局部约束条件和全局约束条件，提出了一种改进的DTW算法。首先，对采集到的语音数据进行训练，构造由MFCC特征参数构成的参考模板，同时计算测试数据的MFCC特征参数构成测试模板；其次，根据局部约束条件和全局约束条件形成本文的DTW算法；最后，利用改进的DTW算法对测试模板和参考模板进行模式匹配。实验表明，该方法可以明显缩短识别时间，而且具有较高的识别率。