Abstract
A method and apparatus for speech recognition involves classifying ( 38 ) a digitized speech segment according to whether the speech segment comprises voiced or unvoiced speech and utilizing that classification to generate tonal feature vectors ( 41 ) of the speech segment when the speech is voiced. The tonal feature vectors are then combined ( 42 ) with other non-tonal feature vectors ( 40 ) to provide speech feature vectors. The speech feature vectors are compared ( 35 ) with previously stored models of speech feature vectors ( 37 ) for different segments of speech to determine which previously stored model is a most likely match for the segment to be recognized.
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