Media Server 23.3

# Custom Language Models

Speech-to-text is supported out-of-the-box and does not require training, but you can often improve accuracy by creating a custom language model. A language model is just one part of the training for a language. It describes the vocabulary and contains information about how sentences are composed from individual words. This section explains when you might want to use a custom language model and how to build one.

Using a custom language model can improve accuracy when:

- The audio contains specialized vocabulary. Any language model has a finite vocabulary and your audio might contain words that are not in the standard vocabulary. For example, a recording of a lecture to medical professionals might include specialized medical terminology, and a recording of a telephone call to a customer support center might include product names.
- You have access to many transcripts that are representative of typical conversations, such as call center conversations.

Building a language model requires a lot of text - millions or billions of words. The language models supplied with Media Server are trained with billions of words across a wide range of topics. This is a significant training burden, but you can build a small, focused, language model and use it to supplement one of the standard models.

Standard language model | Custom language model
--- | ---
Available out of the box. Trained on billions of words. Covers a wide range of topics. Might not cover specialist vocabulary. | You need to create it yourself. Generally trained on a smaller number of words. The custom language model is combined with a standard language model, to increase the coverage. Focuses on particular topics, to increase accuracy. Can cover specialist vocabulary, such as technical terms or product names.

Copyright 2023 Open Text
Version 23.3 | Last updated June 2023

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Product: IDOL Media Server 23.3

Topic Title: Custom Language Models