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Amazon's “Speech Synthesis Markup Language” now lets Alexa developers add personality to Skills' responses by controlling pronunciation, pitch, timing, and more

Amazon's Alexa is going to sound more human.  The company announced this week the addition of a new set …

TechCrunch Sarah Perez

Context & Ripple Effects

This 2017 SSML update is the earliest move in a nine-year arc of Amazon teaching Alexa to sound less like a machine. At the time, the Alexa platform was still young enough that adding Skills by voice counted as a headline feature, and developer control over pronunciation, pitch, and timing gave Skill builders their first real lever over how the assistant felt rather than just what it said.

First-order effects

  • Skill developers gain programmatic control of pronunciation, pitch, and timing, so third-party responses can carry distinct vocal character instead of Alexa's single default delivery.

Second-order effects

Third-order effects

The trend: Voice assistants are evolving from fixed synthetic voices toward developer- and user-selectable personalities, with each expressive capability layer adding both engagement upside and content-boundary risk.