Exam AI-102 topic 3 question 42 discussion

https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/custom-speech-overview#how-does-it-work With Custom Speech, you can upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint. - Create a project and choose a model. Use a Speech resource that you create in the Azure portal. If you will train a custom model with audio data, choose a Speech resource region with dedicated hardware for training audio data. - Upload test data. Upload test data to evaluate the speech to text offering for your applications, tools, and products. - Train a model. Provide written transcripts and related text, along with the corresponding audio data. Testing a model before and after training is optional but recommended. - Deploy a model. Once you're satisfied with the test results, deploy the model to a custom endpoint. With the exception of batch transcription, you must deploy a custom endpoint to use a Custom Speech model.