AI-102 Question 249
Select 3You are building a customer service application that needs to transcribe customer calls in real-time and detect the language spoken. You decide to use Azure AI Speech service for this task. Which configuration steps are required to successfully set up the Speech-to-Text service with automatic language detection?
- A
Enable the AutoDetectSourceLanguages feature in the Speech SDK or REST API.
- B
Provide a list of potential languages to the Speech service.
- C
Store the transcription results in an Azure Blob Storage container.
- D
Configure a custom language model for each supported language.
- E
Obtain a Speech service resource key and region.
Show answer and explanation
Correct answers: A, B, E
Explanation
To configure Azure AI Speech service for Speech-to-Text with automatic language detection, you must enable the AutoDetectSourceLanguages feature, specify potential languages to improve accuracy, and authenticate with a resource key and region. Optional configurations, such as custom language models, are not required unless dealing with specialized use cases.
- A. Correct.
Correct: The AutoDetectSourceLanguages feature must be enabled to allow the Speech service to automatically detect the language being spoken.
- B. Correct.
Correct: Providing a list of potential languages helps the Speech service narrow down the options and improve accuracy in automatic language detection.
- C. Incorrect.
Incorrect: While storing transcription results might be part of a broader solution, it is not a required configuration step for the Speech-to-Text service with language detection.
- D. Incorrect.
Incorrect: Custom language models are optional and only necessary if you want to improve transcription accuracy for specific industry jargon or domain-specific terms.
- E. Correct.
Correct: The Speech service requires a resource key and region to authenticate and connect to the service.