Relevance

The relevance to assign the original model parameters when updating the means and variances of the original models. This effectively assigns a weight in frames to the original values, as if this number of frames had been seen during adaptation. The higher this number, the higher the number of examples seen in the adaptation data will have to be for the model to change significantly.

If you ran the AmTrain task in rapid adaptation mode, set the Relevance to 0 (zero). Any other value limits the effectiveness of the adaptation process.

Action: AddTask, CheckResources
Task: AmTrainFinal
Type: Integer
Default: 500
Range: 0–128000
Example: Relevance=1000
See Also: Relevance (configuration parameter)

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