Speaker verification and speaker identification based on eigenvo

Details Speaker verification and speaker identification based on eigenvo Speaker verification and speaker identification based on eigenvo

1998-09-04

2000-10-31

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Application

704238, 704240, 704246, 704270, G10L 1510, G10L 1514

Patent

active

061416444

ABSTRACT:
Speech models are constructed and trained upon the speech of known client speakers (and also impostor speakers, in the case of speaker verification). Parameters from these models are concatenated to define supervectors and a linear transformation upon these supervectors results in a dimensionality reduction yielding a low-dimensional space called eigenspace. The training speakers are then represented as points or distributions in eigenspace. Thereafter, new speech data from the test speaker is placed into eigenspace through a similar linear transformation and the proximity in eigenspace of the test speaker to the training speakers serves to authenticate or identify the test speaker.

REFERENCES:
patent: 4032711 (1977-06-01), Sambur
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patent: 5345535 (1994-09-01), Doddington
patent: 5469529 (1995-11-01), Bimbot et al.
patent: 5548647 (1996-08-01), Naik et al.
patent: 5632002 (1997-05-01), Hashimoto et al.
patent: 5687287 (1997-11-01), Gandhi et al.

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