SCORE STABILIZATION FOR SPEECH CLASSIFICATION
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United States of America Patent
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Issued Date -
Jul 27, 2017
app pub date -
Jan 21, 2016
filing date -
Jan 21, 2016
priority date (Note) -
Abandoned
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Abstract
A method for stabilizing speaker recognition scores, comprising using one or more hardware processors for the following actions: Receiving supervectors from a Gaussian Mixture model analysis performed by a speaker recognition system, where the supervectors represent speech signals acquired by a microphone. Performing a principal component analysis of a covariance matrix of the supervectors, thereby producing eigenvalues and eigenvectors of the covariance matrix. Removing some of the eigenvectors associated with a number of highest value eigenvalues from the supervectors, thereby producing stabilized supervectors. Sending the stabilized supervectors to the speaker recognition system to compute stabilized speaker recognition scores.
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