

The base model works very well in most speech recognition scenarios.Ī custom model can be used to augment the base model to improve recognition of domain-specific vocabulary specific to the application by providing text data to train the model.

When you make a speech recognition request, the most recent base model for each supported language is used by default. The base model is pre-trained with dialects and phonetics representing a variety of common domains. Out of the box, speech recognition utilizes a Universal Language Model as a base model that is trained with Microsoft-owned data and reflects commonly used spoken language. For more information, see Speech service pricing.

You can conserve resources if the custom speech model is only used for batch transcription. A custom speech model can be used for real-time speech to text, speech translation, and batch transcription.Ī hosted deployment endpoint isn't required to use Custom Speech with the Batch transcription API. With Custom Speech, you can evaluate and improve the accuracy of speech recognition for your applications and products. For Speech CLI help with batch transcriptions, run the following command: The Speech CLI supports both real-time and batch transcription.
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To compare pricing of real-time to batch transcription, see Speech service pricing.įor a full list of available speech to text languages, see Language and voice support.
