Introduction Every time a voice agent picks up a call and holds a conversation that feels genuinely human, two technologies are quietly doing the heavy lifting behind the scenes. Automatic Speech Recognition and Text-to-Speech synthesis are the twin engines that determine whether a voice interaction feels natural and accurate - or frustrating and robotic. Most people never think about what happens in the milliseconds between speaking a sentence and hearing a response. But for businesses deploying voice automation, understanding these technologies is the difference between a system that delights customers and one that drives them straight to a competitor. This blog breaks down exactly how ASR and TTS work, why they matter so much to voice agent accuracy, and what separates a mediocre implementation from the best voice AI agent that performs reliably in the real world. Table of Contents Understanding ASR - The Ears of a Voice Agent How ASR Improves Accuracy Over Time ...
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