SPEAKER IDENTIFICATION AND VERIFICATION SYSTEM

Patent №

US 5,522,012

Granted

1996-05-28

Filed 1994

Owner

RUTGERS UNIVERSITY

Lab

AI components

3

ml · nlp · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08203988

The present invention relates to a speaker recognition method and system which applies adaptive component weighting to each frame of speech for attenuating non-vocal tract components and normalizing speech components. A linear predictive all pole model is used to select frames for an adaptively weighted cepstrum. Frames with a predetermined number of resonances are selected for cepstrum analysis. An adaptively weighted cepstrum is determined from a new transfer function. A normalized cepstrum is determined having improved characteristics for speech components. From the improved speech components, improved speaker recognition over a channel is obtained.

Machine learningNatural languageSpeechG10L 17/02G10L 25/12G10L 25/18G10L 25/24

AI classification

Speech1.00
Natural language1.00
Machine learning0.58
AI hardware0.10
Vision0.02
Planning0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

RUTGERS UNIVERSITY

assignment · 69060084

Assignors

MAMMONE, RICHARD J., ASSALEH, KHALED T.

On an employer assignment, the assignors are typically the inventors.

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