AI-900 Question 239
Select 3A company wants to build a voice-enabled application that transcribes customer support calls in real-time, translates the transcriptions into multiple languages, and allows the application to respond to spoken customer queries. Which Azure AI Speech service capabilities can help achieve this?
- A
Speech-to-Text for real-time call transcription
- B
Text Analytics for sentiment analysis on the transcriptions
- C
Translator for translating the transcriptions into different languages
- D
Text-to-Speech for generating spoken responses to customer queries
- E
Azure Bot Service for building conversational logic
Show answer and explanation
Correct answers: A, C, D
Explanation
Azure AI Speech service offers various capabilities such as Speech-to-Text for real-time transcription, Text-to-Speech for audio output, and integration with Translator for translating text into different languages. These features fulfill the requirements of the company's voice-enabled application. However, some services like Text Analytics and Azure Bot Service are not part of the Azure AI Speech service and are used for different purposes.
- A. Correct.
Speech-to-Text is a core capability of the Azure AI Speech service, allowing real-time transcription of spoken language into text.
- B. Incorrect.
Text Analytics is part of Azure Cognitive Services but is not a feature of the Azure AI Speech service. It is used for tasks like sentiment analysis, not speech processing.
- C. Correct.
Translator, integrated with Azure AI Speech, is used for translating text output (e.g., transcriptions) into multiple languages.
- D. Correct.
Text-to-Speech is a core capability of the Azure AI Speech service, enabling the generation of spoken responses from text.
- E. Incorrect.
Azure Bot Service is a separate service that provides conversational logic and integration but is not a capability of Azure AI Speech.