Discover how Azure Speech service enables apps to read recipe instructions aloud, providing accessibility for users with reduced vision. Learn why Speech is the best choice compared to Text Analytics, Translator, and Language Understanding.
Table of Contents
Question
You need to build an app that will read recipe instructions to support users who have reduced vision. Which version of service should you use?
A. Speech.
B. Text Analytics.
C. Translator.
D. Language Understanding.
Answer
A. Speech.
Explanation
The Azure Speech service is the best choice for building an app that reads recipe instructions aloud to support users with reduced vision. Speech provides text-to-speech capabilities, allowing you to convert written text like recipe instructions into natural-sounding speech output.
With the Speech service, you can:
- Convert text to lifelike speech using neural text-to-speech voices
- Customize the voice, speaking style, pitch, rate, pronunciations, and pauses
- Support over 140 voices across 60+ languages/locales
- Build accessible apps that read text content aloud
The other options are not suitable for this scenario:
- Text Analytics extracts insights like sentiment, key phrases, and entities from text, but does not convert text to speech.
- Translator translates text between languages, which is not the goal here.
- Language Understanding (LUIS) uses natural language processing to determine user intent from conversational input, but cannot generate spoken output from text.
Therefore, the Speech service provides the exact text-to-speech functionality needed to build an app that reads recipes aloud, making it the clear best choice. Using Speech will enable you to create an accessible experience for users with reduced vision.
The Speech service provides capabilities such as text-to-speech, which allows the app to convert written recipe instructions into spoken words, making it accessible for users with visual impairments.
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