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. 1. INTRODUCTION Over the last five years much progress has been made in connected digit recognition [3, 7, 8, 9]. This paper describes how the systematic optimization of various components of a 'conventional' recognition system leads to high performance comparable with other systems that use much more complicated techniques. Experimental results on the adult corpus of the TI/NIST connected digit corpus are given. The optimization steps presented in this paper are: 1. Several methods f...