You can customize how certain words, names or phrases are spelled in the final transcript.
To use custom spelling, provide a dictionary through the custom_spelling_config parameter. This dictionary should contain the correct spelling as the key and a list of one or more possible variations as the value. Custom spelling is useful in scenarios where consistent spelling of specific words is crucial (e.g., technical terms in industry-specific recordings).
The keys in the dictionary are case sensitive, while the values aren’t. Values can contain multiple words.
request data
{
  "realtime_processing": {
    "custom_spelling": true,
    "custom_spelling_config": {
      "spelling_dictionary": {
        "Gorish": ["ghorish", "gaurish", "gaureish"],
        "Data Science": ["data-science", "data science"],
        ".": ["period", "full stop"],
        "SQL": ["sequel"]
      }
    }
  }
}
In this example, the model will ensure that “Gorish” is spelled correctly throughout the transcript, even if it is pronounced in various ways such as “ghorish,” “gaurish,” or “gaureish.”