Correct Answer: Custom Keyword Recognition
Custom Keyword Recognition allows you to train a lightweight model that runs locally on a device to detect a specific wake word or phrase before sending the audio stream to the clo...
Correct Answer
Custom Keyword Recognition
Why This Answer Is Correct
Custom Keyword Recognition allows you to train a lightweight model that runs locally on a device to detect a specific wake word or phrase before sending the audio stream to the cloud for full recognition.
This question evaluates your knowledge of Azure AI Speech — a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Speech is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You need to translate audio files containing spoken English into written French text in real-time. Which API of the Azure AI Speech service should you use?
You are building an IVR (Interactive Voice Response) system. You want to generate custom speech responses using a synthetic voice that matches the specific voice brand of a corporate spokesperson. Which capability should you use?
You are developing an application that uses the Azure AI Speech SDK to transcribe continuous audio streams from a microphone. You need the application to process audio until the user explicitly stops it. Which method should you use?
You want to authenticate your client application to the Azure AI Speech service without exposing your subscription key in the client-side code. What is the recommended approach?