METHOD AND ARRANGEMENT FOR ADAPTATION OF DATA MODELS

A method and an arrangement for adapting data models in adaptive speaker verification systems or similar adaptive systems using models based on data collected from a person, system or process during a certain time period. A plurality of different model units are used in the same speaker verification system. The verification system is put into operation using a simple model unit requiring a small amount of speech data. During the use, more speech data is collected continuously. This speech data is used to further train either (1) only more complex model units, or (2) both the simple model unit already in operation and the more complex model units. At suitable intervals, a comparison is made of the performance capacities of the model units. Once a more complex model unit yields a more reliable verification result, the more complex model unit is assigned to take over the verification in the operating situation. The more complex model unit may be put into operation either instantaneously or gradually, e.g. by using a weight function.