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Azure Speech to Text REST API for short audio (Python).
Passed 22 of 22 test cases with the skill, and 21 of 22 without it.
1 fixed21 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
What is the maximum allowed audio file length when sending audio to the Azure Speech REST API specifically for pronunciation assessment?
| Checked | Without skill | With skill |
|---|---|---|
| The maximum duration for pronunciation assessment is 30 seconds | Missed | Passed |
The instructions your model reads when the skill loads.
Simple REST API for speech-to-text transcription of short audio files (up to 60 seconds). No SDK required - just HTTP requests.
# Required
AZURE_SPEECH_KEY=<your-speech-resource-key>
AZURE_SPEECH_REGION=<region> # e.g., eastus, westus2, westeurope
# Alternative: Use endpoint directly
AZURE_SPEECH_ENDPOINT=https://<region>.stt.speech.microsoft.com
pip install requests
🔑 Two rules apply to every code sample below:
- Two auth modes are supported. Use a subscription key (
Ocp-Apim-Subscription-Keyheader) for quick access, or a Microsoft Entra token (including one acquired withDefaultAzureCredential) via theAuthorizationrequest header (see "Option 2" below). Never hardcode credentials in source.- Use context managers for files and HTTP resources so file handles and network connections are released deterministically:
- Sync:
with open(...) as f:and (when reusing connections)with requests.Session() as session:- Async:
async with aiohttp.ClientSession() as session:Snippets may abbreviate this setup, but production code should always follow both rules.
test cases passed, vs 21 / 22 without
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