Scorer hyperparameters


I want to use the pre trained deepspeech 0.7.0 model as is. To use it for my use case, I saw that making an external scorer helps.

There are many hyperparameters that impact the scorer like “lm alpha”, “lm beta” along with a bunch of other parameters like: “beam width”

How will changing these parameters affect the transcription output?

Also is the scorer required to train the acoustic model??


This should answer the hyperparameter questions:

No, it’s only used for the test set at the end of training, which you can skip by simply not providing a --test_files parameter.

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There’s a script in the repo,, that can help you figure out the optimal alpha and beta parameters for your custom language model.

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are lm alpha and lm beta used for acoustic model training?