Abstract
In this paper a Walsh linear coding algorithm (WLC) is developed which yields a compressed approximation to the Walsh power spectrum of a time frame. This algorithm is interpolative, rather than predictive. It minimizes the mean square interpolative error, and it yields WLC model spectra. The effectiveness of utilizing WLC model spectra in speech recognition systems is explored. Each of two unity gain distortion measures is embedded in a dynamic time warp based speaker-dependent isolated word recognition system and is tested by means of a 10-digit vocabulary.
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