Speaker identification system and method

Details Speaker identification system and method Speaker identification system and method

1997-07-11

1999-07-27

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

For storage or transmission

704246, 704249, 704270, 704222, G10L 302

Patent

active

059307480

ABSTRACT:
A speaker identification system (10) employs a supervised training process (100) that uses row action projection (RAP) to generate speaker model data for a set of speakers. The training process employing RAP uses less memory and processing resources by operating on a single row of a matrix at a time. Memory requirements are linearly proportional to number of speakers for storing each speakers information. A speaker is identified from the set of speakers by sampling the speaker's speech (202), deriving cepstral coefficients (208), and performing a polynomial expansion (212) on cepstral coefficients. The identified speaker (228) is selected using the product of the speaker model data (213) and the polynomial expanded coefficients from the speech sample.

REFERENCES:
patent: 5509104 (1996-04-01), Lee et al.
patent: 5594834 (1997-01-01), Wang
patent: 5596679 (1997-01-01), Wang
patent: 5638486 (1997-06-01), Wang
patent: 5732392 (1998-03-01), Mizuno et al.
patent: 5749072 (1998-05-01), Mazurkiewicz et al.
patent: 5848388 (1998-12-01), Power et al.
An article entitled "Retention In Neural Networks: To Overcome The Catastrophic Forgetting Problem", Master's Thesis-Graduate School, New Brunswick-Rutgers, The State University of New Jersey, by Agarwal, Anshu, Dec. 1992.

Affiliated with

Also associated with

Rating

Speaker identification system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Speaker identification system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Speaker identification system and method will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-892472