AI-102 Question 243
Select 3You are building a real-time speech translation solution using the Azure AI Speech service for a multilingual customer support system. The system must translate spoken input from English to French and then synthesize the translated text into spoken French output. Which components of the Azure AI Speech service should you use to accomplish this?
- A
Speech-to-Text
- B
Text Analytics
- C
Translation
- D
Text-to-Speech
- E
Speaker Recognition
Show answer and explanation
Correct answers: A, C, D
Explanation
To implement a speech-to-speech translation solution, the workflow involves converting spoken input to text using Speech-to-Text, translating the text with the Translation service, and then synthesizing the translated text into speech using Text-to-Speech. Text Analytics and Speaker Recognition are not relevant to this specific scenario.
- A. Correct.
Speech-to-Text is required to convert the spoken English input into text, which is a necessary step before translation.
- B. Incorrect.
Text Analytics is not relevant in this scenario as it is used for analyzing text for sentiment, key phrases, and more, but not for speech translation.
- C. Correct.
Translation is essential to translate the converted English text into French text for the desired output.
- D. Correct.
Text-to-Speech is required to synthesize the translated French text into spoken French output.
- E. Incorrect.
Speaker Recognition is not required for this task as it is used for identifying or verifying a speaker's identity.