Learn which Microsoft Azure cognitive service allows you to translate spoken audio from a streaming source like a microphone into text or an audio stream. Get a thorough explanation to prepare for the AI-900 Azure AI Fundamentals certification exam.
Table of Contents
Question
Which service you should use to translate spoken audio from a streaming source, such as microphone or audio file, and return the translation as text or an audio stream. Select the correct option.
A. Text-to-speech
B. Speech Translation
C. Text analytics
Answer
B. Speech Translation
Explanation
To translate spoken audio from a streaming source, such as a microphone or audio file, and return the translation as text or an audio stream, you should use the Speech Translation service in Microsoft Azure.
The Speech Translation service, part of Azure Cognitive Services, enables real-time speech translation between multiple languages. It takes spoken audio input, either from a microphone that is streaming live or from a pre-recorded audio file, and outputs the translation in two ways:
- As text, providing a transcript of the translated speech
- As an audio stream, allowing the translated speech to be played back
Speech Translation supports a variety of languages and can translate between any two supported languages. It leverages deep learning models to provide accurate, natural-sounding translations in real-time.
The other options listed are not correct for this scenario:
- Text-to-speech synthesizes spoken audio output from text input, essentially the opposite of what’s needed here.
- Text Analytics extracts insights like sentiment and key phrases from text data, but does not handle speech input or output.
So in summary, the Speech Translation service is the appropriate choice in Azure to translate spoken audio from a streaming source and get the output as either text or an audio stream. Its multi-language support and real-time capabilities make it a powerful tool for scenarios requiring live speech translation.
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