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Achieve realistic and efficient speech-driven lip synchronization for humanoid robots by decoupling initial and final phoneme articulations and modulating energy.
Get accurate uncertainty estimates in your dynamic system models without breaking the bank: a variational LSTM with Monte Carlo dropout offers near-free epistemic uncertainty quantification.