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marcoyang 2023-06-20 17:09:52 +08:00
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docs/source/decoding-with-langugage-models/shallow-fusion.rst
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Shallow fusion for RNN Transducer
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In real-life scenario, there is often a mismatch between the training corpus and the target corpus space.
Therefore, we often use an external language model (LM) to improve the accuracy of the ASR model
on the target space. Even if the training and testing domain are similar, using external langugage model
can still help the ASR model if the training corpus is not that large.
External language models (LM) are commonly used to improve WERs for E2E ASR models.
This tutorial shows you how to perform ``shallow fusion`` with an external LM
to improve the word-error-rate of a RNN Transducer model.