Patent ID: 7133826
Filing Date: 2006-11-07
Classification: G10L

Abstract:
1. A method of speaker recognition that generates a likelihood that the same speaker generated a training signal and a test signal, the method comprising: determining a mean strength of each of a plurality of frequency components of noise in the training signal; determining a mean strength of each of the plurality of frequency component of noise in the test signal; for each frequency component, subtracting the mean strength of noise in the training signal from the mean strength of noise in the test signal to determine a value for each frequency component; generating a matched test signal and a matched training signal by performing a step for each of the plurality of frequency components, the step comprising adding the respective value to a strength of the frequency component in the test signal as part of generating the matched test signal so that a mean strength of the frequency component of noise in the matched test signal matches a mean strength of the frequency component of noise in the matched training signal; selectively adding to the strength of each frequency component in one of the training signal or test signal in further production of the matched training signal and the matched test signal such that the variance of the strength of each frequency component of noise in the matched training signal is equal to the variance of the strength of each respective frequency component of noise in the matched test signal; creating a model based on the matched training signal; and applying the matched test signal to the model to produce the likelihood that a same speaker generated the training signal and the test signal.