| 摘要 |
Disclosed is a speech recognition device using a hidden Markov model and a two-level dynamic programming scheme. The speech recognition device includes an analog to digital converter for sampling and quantizing speech signals into digital speech signals; a noise eliminator for reducing noise from the digital speech signals; a feature vector generator for generating a feature vector from the noise-eliminated speech signals, and converting the feature vector into a test pattern; and a processor including a plurality of processing elements arranged in parallel, each processing element calculating a matching cost of a test pattern and a reference pattern, selecting the minimum value from among the calculated matching costs, and outputting the minimum value as the minimum matching cost of an input test pattern.
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