Text to speech for voice agents
Text to speech is the component that converts a voice agent's generated response, which starts as plain text, into natural sounding spoken audio played back to the caller. Voice quality here has an outsized effect on how human the entire interaction feels.
Why natural pacing matters
Beyond just pronouncing words correctly, good text to speech includes natural pauses, intonation, and pacing, since a flat, evenly spaced robotic delivery is often what makes an automated call feel unconvincing, even when the actual content is fine.
Voice selection and consistency
Most platforms offer a choice of voice identities, letting a business match the tone of the agent to its brand, and it's important that the chosen voice stays consistent across a conversation rather than shifting subtly between responses.
Speed as part of the overall latency budget
Text to speech is the final stage in the response pipeline, so how quickly it can convert text into playable audio directly affects how long a caller waits to hear a response after finishing their own sentence.
Frequently asked
Quality has improved significantly in recent years, and modern text to speech can sound quite close to a real person, though quality still varies between providers.
More in Technical
A voice agent system is typically built from a few connected layers, a telephony layer that handles the actual phone connection, a speech processing layer that converts audio to text and back, and a language model layer that decides what to say.
Voice AI architecture generally follows a pipeline, speech to text converts what's said into text, a language model decides on a response, and text to speech converts that response back into audio, all repeated for each turn of the conversation.
A voice agent API generally lets you send leads into a calling campaign programmatically, trigger and manage campaigns through code, and pull call data, transcripts, and outcomes back into your own systems on demand.
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