Train a custom speech model
In this article, you learn how to train a custom model to improve recognition accuracy from the Microsoft base model. The speech recognition accuracy and quality of a custom speech model remains consistent, even when a new base model is released.
Note
You pay for custom speech model usage and endpoint hosting. You'll also be charged for custom speech model training if the base model was created on October 1, 2023 and later. You are not charged for training if the base model was created prior to October 2023. For more information, see Azure AI Speech pricing and the Charge for adaptation section in the speech to text 3.2 migration guide.
Training a model is typically an iterative process. You first select a base model that is the starting point for a new model. You train a model with datasets that can include text and audio, and then you test. If the recognition quality or accuracy doesn't meet your requirements, you can create a new model with more or modified training data, and then test again.
You can use a custom model for a limited time after it was trained. You must periodically recreate and adapt your custom model from the latest base model to take advantage of the improved accuracy and quality. For more information, see Model and endpoint lifecycle.