Describe features of Natural Language Processing workloads on Azure →easyMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
What does Azure AI Speech service's text-to-speech (TTS) feature do?
⚠ Common exam trap
It's easy for candidates to confuse text-to-speech with speech-to-text (Option A), as both involve speech and text, but the direction of conversion is opposite.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Converts written text into natural-sounding spoken audio
Azure AI Speech service's text-to-speech (TTS) feature converts written text into natural-sounding spoken audio using neural voice models. It synthesizes speech from input text, enabling applications like voice assistants, audiobooks, and accessibility tools. This is the core function of TTS, distinct from speech-to-text or translation capabilities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Converts spoken audio into written text
Why it's wrong here
This describes automatic speech recognition (ASR), not text-to-speech. ASR converts audio input into a textual transcript by processing acoustic features through trained models, while TTS operates in the opposite direction, starting from text and generating audio. The confusion arises because both deal with spoken language, but TTS never receives or processes audio input.
- ✓
Converts written text into natural-sounding spoken audio
Why this is correct
Text-to-speech (TTS) is a synthesis task that takes written text as input and produces a natural-sounding audio waveform, often using neural vocoders and prosody models. Azure Neural TTS supports SSML (Speech Synthesis Markup Language) to control pitch, rate, and emphasis, plus customizable neural voices and multiple languages. This is the correct definition because the direction is text → audio, without any audio analysis.
- ✗
Identifies the language of spoken audio
Why it's wrong here
Identifying the language of spoken audio is a recognition/classification task typically performed by an automatic speech recognition front-end or a separate language identification API. TTS does not analyze audio; its input is a text string, so it has no access to the acoustic signal from which language could be inferred. This option confuses the input modality of TTS with that of speech analysis systems.
- ✗
Translates spoken words from one language to another
Why it's wrong here
Translating spoken words from one language to another requires speech translation, which first performs speech-to-text and then machine translation before synthesizing output in the target language. TTS only converts text into audio in the same language as the provided text; it performs no cross-lingual transformation. Thus, TTS cannot translate speech, as translation demands understanding and re-generation beyond simple text-to-speech synthesis.
Go deeper
Related to this question
Learn chapter
Machine Learning Core Concepts
Key term
Azure AI Speech
Azure AI Speech is a cloud service from Microsoft that converts spoken audio into text, text into lifelike speech, and enables real-time voice translation and speaker recognition.
Key term
Feature
A feature is a distinct unit of functionality that delivers value to the user, often managed and tracked throughout the software development lifecycle.
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