Media Server 24.2

# Train a Custom Language Model

To create a new custom language model, use the action `TrainCustomSpeechLanguageModel`.

To train a custom language model

- Train a custom language model using the `TrainCustomSpeechLanguageModel` action. Set the following parameters:

  `identifier` | (Optional) A unique identifier for the custom language model (maximum 254 bytes). If you do not set this parameter, Media Server generates an identifier automatically.
  `languagepack` | The language to base the custom language model on. You cannot train a custom language model with one language and use it with another, so this parameter and the `LanguagePack` parameter in your speech-to-text task must have the same value.
  `textdata` | (Set this or `textpath`, but not both). The text to use for training. Text files must be uploaded as multipart/form-data. For more information about sending data to Media Server, see Send Data by Using a POST Method.
  `textpath` | (Set this or `textdata`, but not both). A comma-separated list of paths to the files that contain the text to use for training. The paths must be absolute, or relative to the Media Server executable file.

  For example:

      curl http://localhost:14000 -F action=TrainCustomSpeechLanguageModel
                                  -F languagepack=ENUK
                                  -F textdata=@sample1.txt,sample2.txt

  Alternatively, the following example provides the paths of the text files, rather than sending the data:

      curl http://localhost:14000 -F action=TrainCustomSpeechLanguageModel
                                  -F languagepack=ENUK
                                  -F textpath=data/sample1.txt,data/sample2.txt

You can list the custom language models that you have trained using the action `ListCustomSpeechLanguageModels`. For more information about the actions that you can use for training custom language models, refer to the Media Server Reference.

Copyright 2024 Open Text
Version 24.2 | Last updated March 2024

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: IDOL Media Server 24.2

Topic Title: Train a Custom Language Model