Method and recognizer for recognizing a sampled sound signal in

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704234, G10L 506, G10L 900

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058421629

ABSTRACT:
A sound recognizer uses a feature value normalization process to substantially increase the accuracy of recognizing acoustic signals in noise. The sound recognizer includes a feature vector device which determines a number of feature values for a number of analysis frames, a min/max device which determines a minimum and maximum feature value for each of a number of frequency bands, a normalizer which normalizes each of the feature values with the minimum and maximum feature values resulting in normalized feature vectors, and a comparator which compares the normalized feature vectors with template feature vectors to identify one of the template feature vectors that most resembles the normalized feature vectors.

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