AI-102 Question 241
Select 3You are designing a real-time speech-to-speech translation solution for an international conference using the Azure AI Speech service. The solution must support multiple languages, ensure low latency, and allow customization of the output voice to match the style of the speaker. Which components should you include in your solution?
- A
Azure Speech Translation for real-time speech-to-speech translation
- B
Azure Neural Text-to-Speech (Neural TTS) for customizing the output voice
- C
Azure Machine Learning for managing speech translation models
- D
Azure Translator Text API for handling text-based translations
- E
Custom Speech for adapting the model to specific domain vocabulary
Show answer and explanation
Correct answers: A, B, E
Explanation
To design a real-time speech-to-speech translation solution using Azure AI Speech services, you need Azure Speech Translation for the core translation functionality, Azure Neural Text-to-Speech for customizing the output voice to match the speaker's style, and Custom Speech to ensure accurate recognition of domain-specific vocabulary. Azure Machine Learning and Translator Text API are not directly relevant to speech-to-speech translation scenarios.
- A. Correct.
Azure Speech Translation is the core service for real-time speech-to-speech translation. It enables converting spoken language from one language to another in real-time.
- B. Correct.
Azure Neural Text-to-Speech (Neural TTS) allows customization of the output voice, making it possible to match the style of the speaker for a more natural experience.
- C. Incorrect.
Azure Machine Learning is not required for managing speech translation models, as Azure AI Speech services already provide pre-trained models for this purpose.
- D. Incorrect.
Azure Translator Text API is for text-based translations, not speech-to-speech translation. It is not relevant in this scenario.
- E. Correct.
Custom Speech allows you to adapt the Azure Speech model to handle specific domain vocabulary, which is crucial for ensuring accuracy in specialized topics spoken at the conference.