The amadaptend
module and its parameters are deprecated in IDOL Speech Server version 11.5 and later. Micro Focus recommends that you use the newer Deep Neural Network (DNN) techniques, rather than GMM-based acoustic models.
This module is still available for existing implementations, but it might be incompatible with new functionality. The module might be deleted in future.
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.
Type: | Integer |
Default: | 500 |
Range: | 0–128000 |
Required: | No |
Configuration Section: | amadaptend module |
Example: | Relevance=1000
|
See Also: | Relevance (action parameter) |
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