Lipsync Issue with AI Avatar Agent – Seeking Guidance

[NineIT420]

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Hello everyone,

I’m currently developing an AI avatar agent that uses real-time voice input to drive facial animations. While the avatar functions correctly overall, I’m experiencing a lipsync mismatch—the mouth movements are not accurately matching the generated speech, resulting in unnatural or delayed expressions.

Here’s what I’ve tried so far:

• Using the default phoneme-to-viseme mapping provided by the avatar framework.
• Adjusting animation timing and smoothing parameters.
• Testing with multiple voice inputs and sample sentences.

I’m looking for advice on:

• Best practices for achieving accurate real-time lipsync.
• Tools or libraries recommended for phoneme-viseme alignment.
• Any configuration tweaks to improve synchronization between speech and mouth animation.

Any insights or similar experiences would be greatly appreciated!

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[Tn0127]

Years back, I wrestled with the exact same ghost-lips effect in a similar project. The real culprit was almost never the mapping itself, but hidden buffering in the audio output pipeline, creating an uncanny 100-200ms delay. We fixed it by implementing a simple look-ahead predictor for phonemes and adjusting the animation queue to start before the audio hit the speakers. It’s a constant tuning battle between prediction accuracy and perceived latency, but getting that audio thread timing right is 80% of the win.