Patent ID: 9741346
Date: 2017-08-22
CPC Classifications: G10L

Claim:
1. A method for estimating the reliability of a result of a speaker recognition system, the result concerning one, two, three or more testing audio(s) or a testing voice print and a speaker model, which is based on one, two, three or more model audios, the method comprising: using a Bayesian Network to estimate whether the result is reliable, wherein estimating the reliability of the result of the speaker recognition system includes using one, two, three, four or more than four quality measures of the testing audio(s) and one, two, three, four or more than four quality measures of the model audio(s), and wherein using the Bayesian network includes: wherein: the observed score is dependent on at least one of a group consisting of the states of quality, a clean score, a real trial label, the mean and precision of the distribution describing the offset between the observed score and the hidden score, the real trial label is dependent on the hypothesis prior and the hidden score is dependent on the (hidden) real label of trial and the mean and precision of the distribution describing the clean score, the states of quality depend on the coefficients of the distribution describing the states of quality, the observed quality measures depend on the states of quality and the mean and precision of the distribution describing the groups of the observed quality measures.