![]() ![]() Otherwise, use Speech Studio to review the word error rate (WER) and specific error details and determine what additional data is needed for training. If the performance of the custom model meets your quality expectations, publish it for use in speech transcription. ![]() Evaluate the newly trained model against the test dataset.In Speech Studio or via the API or CLI, use the new dataset to train a custom speech model.In the API and the CLI, you can pass the dataset's URI an input to create a dataset for model training and testing. Alternatively, if the dataset is in a blob store, you can use Azure Speech-to-text API and the Speech CLI. ![]()
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