A Universal Background Model (UBM) is usually used to model represent the general characteristics. For example, in speaker verification, the UBM is adopted for general speaker characteristics and different speakers could either be modeled by training a speaker dependent model of adapting the UBM to speakers.
Gaussian Mixture Model is commonly adopted for UBM to capture universal information.
In the attached paper, the author gives a brief introduction to the UBM.
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