Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Connected Digit Recognition Using Statistical Template Matching

L. Welling, Hermann Ney, A. Eiden, C. Forbrig

Lehrstuhl fur Informatik VI, RWTH Aachen - University of Technology, Aachen, Germany

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.

Full Paper

Bibliographic reference.  Welling, L. / Ney, Hermann / Eiden, A. / Forbrig, C. (1995): "Connected digit recognition using statistical template matching", In EUROSPEECH-1995, 1483-1486.