In isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time whole) algorithm based on dynamic programming (DP) ideas to solve the problem of template matching pronunciation of varying lengths, is earlier, more classic kind of speech recognition algorithms appear for isolated word recognition. HMM algorithm needs to provide a large amount of training phase speech data, by repeating the calculations to obtain the model parameters and the DTW algorithm training almost no additional computation. Therefore, in isolated word speech recognition, DTW algorithm is still widely used. This program is to achieve DTW algorithm

DTW\Debug\DTW.exe
...\.....\DTW.ilk
...\.....\DTW.pdb
...\.TW\Debug\BuildLog.htm
...\...\.....\DTW.exe.embed.manifest
...\...\.....\DTW.exe.embed.manifest.res
...\...\.....\DTW.exe.intermediate.manifest
...\...\.....\DTW.obj
...\...\.....\dtwhandle.obj
...\...\.....\dtwrecoge.obj
...\...\.....\mt.dep
...\...\.....\vc90.idb
...\...\.....\vc90.pdb
...\...\DTW.cpp
...\...\DTW.vcproj
...\...\DTW.vcproj.MEDIA-03.matlab.user
...\...\dtwhandle.cpp
...\...\dtwhandle.h
...\...\dtwrecoge.cpp
...\...\dtwrecoge.h
...\DTW.ncb
...\DTW.sln
...\DTW.suo
...\...\Debug
...\Debug
...\DTW
DTW

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