AI-900 Question 238
Select 2A company wants to integrate Azure AI Speech Service into their application to transcribe customer service calls and analyze the emotions expressed during the conversations. Which capabilities of the Azure AI Speech Service can help achieve this goal?
- A
Speech-to-Text for converting spoken language into written text
- B
Text-to-Speech for generating lifelike spoken audio from text
- C
Speech Translation for translating spoken content into another language
- D
Speech Synthesis Markup Language (SSML) for fine-tuning voice characteristics in text-to-speech scenarios
- E
Speech Synthesis for creating synthesized voice from transcribed text
- F
Sentiment Analysis for detecting emotional tone in conversational audio
Show answer and explanation
Correct answers: A, F
Explanation
The Azure AI Speech Service offers multiple capabilities, two of which directly address the scenario requirements: Speech-to-Text transcribes the audio of customer service calls into text, enabling further processing, and Sentiment Analysis can be used to detect emotional tone in the conversations. These features combined can help the company achieve their goal of transcription and emotion analysis.
- A. Correct.
Speech-to-Text is a core capability of Azure AI Speech Service that converts spoken language into written text, making it suitable for transcribing customer calls.
- B. Incorrect.
Text-to-Speech is used to generate spoken audio from text, which is unrelated to transcribing calls or analyzing emotions.
- C. Incorrect.
Speech Translation translates spoken content into another language, which is unrelated to transcription or emotion analysis in this scenario.
- D. Incorrect.
Speech Synthesis Markup Language (SSML) is a feature for customizing speech synthesis but does not contribute to transcription or emotion analysis.
- E. Incorrect.
Speech Synthesis creates synthesized voice audio from text, which does not help in transcribing calls or analyzing emotions.
- F. Correct.
Sentiment Analysis is used to detect the emotional tone in text or audio, aligning with the need to analyze emotions during customer service calls.