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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.
A feature of the proposed system is its model adaptation loop that provides adaptability to different sound environments.
Basically, the model adaptation approach needs to adapt the entire model parameters employed in the speech recognizer.
Model Adaptation for Sentence Segmentation from Speech.
Model Adaptation for Dialog Act Tagging.
Cascaded Model Adaptation for Dialog Act Segmentation and Tagging.
Exploiting User Feedback for Language Model Adaptation in Meeting Recognition.
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.
This facilitates fast learning (model adaptation) without much of transient effects.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com