Voice log-in using spoken name input

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395 265, G10L 900

Patent

active

052934527

ABSTRACT:
A voice log-in system is based on a person's spoken name input only, using speaker-dependent acoustic name recognition models in a performing speaker-independent name recognition. In an enrollment phase, a dual pass endpointing procedure defines both the person's full name (broad endpoints), and the component names separated by pauses (precise endpoints). An HMM (Hidden Markov Model) recognition model generator generates a corresponding HMM name recognition model modified by the insertion of additional skip transitions for the pauses between component names. In a recognition/update phase, a spoken-name speech signal is input to an HMM name recognition engine which performs speaker-independent name recognition--the modified HMM name recognition model permits the name recognition operation to accommodate pauses between component names of variable duration.

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Juang et al., "Recent Developments In the Application of Hidden Markov Models to Speaker-Independent Isolated Word Recognition", PROC. IEEE ICASSP, Mar. 1985, pp. 9-12.

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