Text-to-Speech (TTS)

In short: Text-to-speech converts written text into spoken audio using AI voice synthesis, frequently used upstream of lip sync to generate the audio track that drives mouth movements.

About Text-to-Speech (TTS)

Text-to-speech systems use neural networks to convert input text into natural-sounding spoken audio, handling pronunciation, intonation, and pacing. In lip sync workflows, TTS is often the source of the audio that the lip sync model synchronizes to.

This combination enables fully automated content creation: a user provides text, TTS generates speech, and lip sync modifies a video to match. Modern TTS systems can produce voices in dozens of languages and styles, making them a key component in scalable multilingual content pipelines.

How Text-to-Speech (TTS) Connects to Lip Sync

Text-to-Speech (TTS) relates to several other concepts in the AI lip sync pipeline: Voice Cloning , and Video Dubbing .

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