Why this project exists
Real-time speech models have made short voice demos remarkably convincing. Sustained conversations are harder: history grows, context becomes expensive, style drifts, and unreliable networks create errors that can compound across later turns. llmovoice explores a context-managed architecture for closing that gap.
Project collaborators
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