Text-to-speech, or TTS, converts written text into synthetic spoken audio. Modern systems can control voice, pace, emphasis, and sometimes emotion, making them useful for assistants, accessibility, and automated calls. Natural sound alone is not enough: pronunciation, timing, disclosure, and consent still determine whether the output works safely.
How does text-to-speech work?
A TTS system turns text and pronunciation cues into an acoustic representation, then renders that representation as audio. Quality depends on intelligibility, prosody, pronunciation, and consistency, not just how human the sample sounds. NVIDIA’s TTS documentation describes streaming and offline synthesis modes.
What should teams test before deployment?
Test names, numbers, abbreviations, multiple languages, long replies, and streaming inference boundaries. Use a clearly licensed voice and disclose automation where callers could mistake it for a person. Voice cloning adds consent and impersonation risk. In voice agents, pair TTS with barge-in so callers can interrupt without waiting through an unwanted speech segment.
Frequently asked questions
Is text-to-speech the same as voice cloning?
No. TTS generates speech from text, while voice cloning adapts that speech to resemble a particular person's voice.
Can text-to-speech stream before the full text is ready?
Yes. Streaming TTS can begin playback from partial text, reducing perceived delay but making revisions harder.
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