Dynamic time warping (DTW) is an algorithm for measuring similarity between two sequences which may vary in time or speed.
Dynamic Time Warping
In this section we motivate and explain the Dynamic Time Warping algorithm, one of the oldest and most important algorithms in speech recognition.
Computational linguistics
Digital signal processing
Dynamic time warping
Hidden Markov models
Linguistics
Mondegreen
Mel Frequency Cepstral Coefficients (MFCCs)
Pattern recognition
Voice analysis
Voice command device ...
 See also: Knowledge, Signal processing, Percept, Pattern recognition, Speech recognition
  
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