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Dynamic Time Warping

Dynamic Time Warping. By Vinayak D. Labade. Pu Jiantao. Introduction DTW. Dynamic Time Warping Used for speech recognition Speech is a time dependent process Time Normalization Constraints on the Path End Point Constraint Monotonicity conditions Local continuity constraint

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Dynamic Time Warping

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  1. Dynamic Time Warping By Vinayak D. Labade. Pu Jiantao.

  2. Introduction DTW • Dynamic Time Warping • Used for speech recognition • Speech is a time dependent process • Time Normalization • Constraints on the Path • End Point Constraint • Monotonicity conditions • Local continuity constraint • Global path constraints continued…

  3. Introduction DTW • Finding the minimum distance path • Dynamic Programming.

  4. Improvements in DTW • Local Continuity constraints • Slope weighing • Penalizing for less likely paths • DDTW • Derivative Dynamic Time Warping • Recognizes whether the point is on rising or falling curve.

  5. Implementation • DTW • DDTW References: • Fundamentals of Speech Recognition by L R. Rabiner • DDTW Eamonn . Koegh and Michael J. Pazzani. • Dr. John H. Harris and Kaustubh Kale (University of Florida Gainesville) • Stuart N Wrigley (University of Sheffield)

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