Individual recognition by voice analysis

G - Physics – 10 – L

Patent

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354/49

G10L 17/00 (2006.01)

Patent

CA 1252567

- 1 - Abstract: In accordance with the present invention a person is identified, or asserted identity is verified, from speech patterns by analyzing his or her prompted utterance to generate a set of acoustic feature signals and comparing the utterance feature signals to reference acoustic feature signals characteristic of previously identified speakers without time sequence information preserved. In the identity determination, the best matching of the word-organized reference feature signals characteristic of the identified speaker is found for each successive utterance feature signal and a signal representative of the similarity of the best matching reference feature and the current utterance feature signal. The correspondence of the utterance and the reference acoustic feature signals of the identified speaker is evaluated from the sequence of similarity signals. The reference acoustic feature signals are vector-quantized and placed into a codebook according to respective indices for each word or phrase; and the prompted utterance is arbitrarily selected from among those words or phrases for which indices exist.

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