Provision an Azure resource for speech

Before you can use Azure AI Speech, you need to create an Azure AI Speech resource in your Azure subscription. You can use either a dedicated Azure AI Speech resource or a multi-service Azure AI Services or Azure AI Foundry resource.

After you create your resource, you'll need the following information to use it from a client application through one of the supported SDKs:

• The location in which the resource is deployed (for example, eastus)
• One of the keys assigned to your resource.

You can view of these values on the Keys and Endpoint page for your resource in the Azure portal.

While the specific syntax and parameters can vary between language-specific SDKs, most interactions with the Azure AI Speech service start with the creation of a SpeechConfig object that encapsulates the connection to your Azure AI Speech resource.

For example, the following Python code instantiates a SpeechConfig object based on an Azure AI Speech resource in the East US region:

import azure.cognitiveservices.speech as speech_sdk

speech_config = speech_sdk.SpeechConfig(your_project_key, 'eastus')