A Research on Improving the Algorithm for DTW Feature-Matching in Speech Recognition

The dynamic time warping(DTW) technology based on the dynamic programming can solve the problem that the characteristic parameters of speech signal are of different lengths in each other.Matching the pattern character and speech character with dynamic time warping enables the researchers to compare the distortions between them so as to obtain the criterion for identification.According to the experimental results,the algorithm after improvement performs better in single speech recognition.