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AI-900: Optimizing Phone Auto Attendants Harnessing SSML for Speech Synthesis Control

Explore the power of SSML, the Speech Synthesis Markup Language, in fine-tuning speech output for phone auto attendants. Elevate user experiences with nuanced and customized speech synthesis.

Table of Contents

Question

What markup language will you use for the control of Speech Synthesis output for your phone auto attendant?

A. HTML
B. SQL
C. SSML
D. JSON
E. TeX

Answer

C. SSML

Explanation

C. SSML (Speech Synthesis Markup Language): It’s specifically designed to customize speech output, controlling aspects like pronunciation, intonation, and other speech characteristics for more natural and expressive synthesized speech.

Azure Cognitive services use Speech Synthesis Markup Language (SSML) for control of Speech Synthesis output. Using SSML, XML-based language, you can change the voice speed and pitch and how the text or the text’s parts should be read.

Options B is incorrect because SQL (Structured Query Language) is a data management language, not a markup language.
Options D is incorrect because JSON (JavaScript Object Notation) is a data interchange format, and it is not a markup language.
Option A and E are incorrect. Even HTML (Hypertext Markup Language) and TeX are markup languages, but the Azure Cognitive services use SSML for the control of Speech Synthesis output.

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Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump