| 摘要 |
<p>A method of forming a cohort for use in identification of an individual by comparing a model of characteristics of the individual, such as a model of utterances, with models of the cohort including a model for the client in respect of whom it is desired to test whether the individual is identifiable. Models of at least a substantial number (preferably all) of the population excluding the client are tested to determine whether they meet an acceptance threshold test as to identify with a model for the client. Then, from each meeting the threshold test, it is determined whether those models are distributed so as to present at least a substantial probability that models for non-members of the population spaced from the client model in all directions will each be closer to a member of the cohort, excluding the client, than to the client. If that probability is less than a predetermined value, a selection is made from the population of another cohort member which will reduce that probability. Alternatively, if the mentioned probability is less than the predetermined value, a 'phantom' model is generated for inclusion in the population and which will reduce that probability. The method may employ both the described selection and 'phantom' generation techniques.</p> |
