- Alexander I. Rudnicky, A. Waibel, N. Krishnan. 1982. Adding a zero-crossing count to spectral information in template-based speech recognition. Abstract: Abstract : Zero-crossing data can provide important feature information about an utterance which is not available in a purely spectral representation. This report describes the incorporation of zero-crossing information into the spectral representation used in a template-matching system (CICADA). An analysis of zero-crossing data for an extensive (2880 utterance, 8 talker) alpha-digit data base is described. On the basis of this analysis, a zero-crossing algorithm is proposed. The algorithm was evaluated using a confusible subset of the alpha-digit vocabulary (the E-set ). Inclusion of zero-crossing information in the representation leads to a 10-13% reduction in error rate, depending on the spectral representation.
