A spoken digit recognizer for Japanese has been designed and constructed. A set of eight features (concerned chiefly with the formant structure) which appear to characterize the individual spoken digits most efficiently has been determined by examining sound-spectrograms of typical utterances. Recognition is performed based on the Bayes decision rule applied to this set of features. The extraction of the features and the decision-making are carried out by fully transistorized circuits. Although the circuits are relatively simple, results of 99.7 percent for 1000 utterances of 20 male speakers were obtained.
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