Description: Isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time Warping) algorithm based on dynamic programming (DP) of thinking to solve the problem of template matching pronunciation of varying lengths, is earlier, more classic kind of speech recognition algorithm appears for isolated word recognition. HMM training phase algorithm needs to provide a large amount of speech data, by repeatedly calculating the model parameters can be obtained, and DTW algorithm training almost no additional computation. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.
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File list (Check if you may need any files):
SpeechRec\CMN.m
.........\deltacoeff.m
.........\DTWScores.m
.........\Important Information!.txt
.........\melbankm.m
.........\mfccf.m
.........\myDTW.m
.........\myVAD.m
.........\nreduce.m
.........\Recognition.m
.........\setTemplates.m
.........\SpeechData\Amir\5_1.wav
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.........\..........\Important Information!.txt
.........\..........\Jim\5_1.wav
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.........\..........\Tope\5_1.wav
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