Trapezoidal DP matching with time reversibility

Abstract
DP matching is widely used in speech recognition. But none of the conventional formulations (Rectangular DP Matching) seem to have all the three properties: pattern commutativeness, time reversibility, and linear matching consistency. In this paper, a new formulation named "Trapezoidal DP Matching" is proposed, which preserves time reversibility and can have all the three properties. In addition, the following points are clarified; (1) The formulation gives a better approximation of continuous-time pattern distance, and is expected to improve recognition accuracy. (2) It has an effect of smoothing the weighting coefficients on local distances. (3) It provides a clear viewpoint on the relationship between weighting coefficients and the normalized time. (4) Its evaluation is reliable even for a transient portion matching.

This publication has 4 references indexed in Scilit: