AI-900 Question 240
Select 3A company wants to develop a customer service application that can transcribe customer calls in real-time, identify the language spoken, and convert the transcriptions into text for analysis. Which capabilities of the Azure AI Speech service should they use?
- A
Speech-to-Text
- B
Text-to-Speech
- C
Speech Translation
- D
Custom Neural Voice
- E
Language Identification
Show answer and explanation
Correct answers: A, C, E
Explanation
The company's requirements include real-time transcription, language detection, and text conversion for analysis. Speech-to-Text is necessary for transcribing calls, Speech Translation can handle multilingual scenarios, and Language Identification ensures the spoken language is correctly identified. Text-to-Speech and Custom Neural Voice, while valuable for other use cases, are not required in this scenario.
- A. Correct.
Speech-to-Text is a core capability of Azure AI Speech service that converts spoken language into written text, which is essential for transcribing customer calls.
- B. Incorrect.
Text-to-Speech is used to convert text into spoken audio, which is not relevant to the scenario of transcribing customer calls and analyzing them.
- C. Correct.
Speech Translation allows translation of spoken language into another language, which can be helpful for multilingual conversations in the customer service application.
- D. Incorrect.
Custom Neural Voice is used to create lifelike synthetic voices, which is not required for transcribing or analyzing customer calls.
- E. Correct.
Language Identification is used to detect the language spoken in audio, which is key to handling customer calls in different languages.