초록 ▼

A simplified, speaker independent, selected vocabulary, word recognizing microcomputer functions without the use of a typical front end filtering network. The microcomputer identifies vowel-like fricative-like, and silence signal states within a word or phrase by counting speech pattern zero crossin

A simplified, speaker independent, selected vocabulary, word recognizing microcomputer functions without the use of a typical front end filtering network. The microcomputer identifies vowel-like fricative-like, and silence signal states within a word or phrase by counting speech pattern zero crossings during sequential time periods. Variable zero crossing count thresholds are used to identity states based upon previously identified states, and histeresis is provided, through the use of state time measurement, to prevent state oscillations which would result in erroneous state sequences. The microcomputer, by monitoring zero crossings, defines words as a sequence of vowel-like, fricative-like, and silence states. By limiting the recognizable vocabulary to words which have dissimilar sequences, the incoming speech pattern may be recognized by comparison with state templates defining the limited vocabulary stored in the microcomputer\s memory.

대표청구항 ▼

A speech recognition system, comprising: a read-only memory permanently storing speech template data for a limited vocabulary, said speech template data defining words selected to be dissimilar; means for analyzing speech input data, said means comprising: means for measuring the average speech freq

A speech recognition system, comprising: a read-only memory permanently storing speech template data for a limited vocabulary, said speech template data defining words selected to be dissimilar; means for analyzing speech input data, said means comprising: means for measuring the average speech frequency of said data; means for comparing said average speech frequency with thresholds to generate speech state sequences of fricative-like, vowel-like, and silence states; and means for changing at least one of said thresholds in response to a previous state of said speech state sequence; and means for comparing said speech state sequences with said speech template data to output a signal identifying said speech.