Connected digit recognition using statistical template matching

Abstract

In this paper we describe the optimization of 'conventional' template matching techniques for connected digit recognition (TI/NIST connected digit corpus).In particular we carried out a series of experiments in which we studied various aspects of signal processing, acoustic modeling, mixture densities and linear transforms of the acoustic vector.After all optimization steps, our best string error rate on the TI/NIST connected digit corpus was 1.71% for single densities and 0.74% for mixture densities.