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For example, the Ornstein Uhlenbeck (OU) process models adaptation explicitly by defining a single global optimum (Hansen, 1997) or several local optima (Butler and King, 2004) of directional selection.
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It is used to guide model adaptation to obtain adapted model which is used to decode the incoming utterances.
One is through the model adaptation approaches, which adapt the clean model towards the distorted speech features.
Basically, the model adaptation approach needs to adapt the entire model parameters employed in the speech recognizer.
A feature of the proposed system is its model adaptation loop that provides adaptability to different sound environments.
In model adaptation, the trained acoustic models of a speech recognizer are adapted to be acoustically matched into the test environment.
Acoustic model adaptation.
Half of these data were used for supervised model adaptation.
Some of them are based on a model adaptation technique.
Model adaptation is demonstrated and shown to provide process insight.
In this article the algorithm of ionospheric model adaptation according to GLONASS/GPS data is offered.
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