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  1. arXiv

    WaveGen folds zero-shot TTS into one model: text goes straight to waveform, hitting WER 1.47 and SIM 0.75 on Seed-en

    WaveGen pulls zero-shot speech synthesis back from multi-stage pipelines into a single diffusion model: text produces raw waveform directly, without a neural audio codec, Mel vocoder, VAE latent or duration predictor. Spectral Forcing makes the same model learn a low-resolution spectral trajectory alongside the target waveform trajectory, giving text-speech alignment a structured guide in high-resolution waveform space. Trained in one stage on open Emilia data, the 0.6B-parameter WaveGen reaches WER 1.47 and speaker similarity SIM 0.75 on the Seed-en benchmark.

  2. arXiv

    An excavator stops taking language orders at face value: a one-use lease ties approval to the exact motion, cutting closed-site dumping from 1.23 to 0.33 cubic meters

    An LLM-directed excavator can execute mechanically feasible motion whose destination or authority no longer matches the operator's approval. The work binds authorization to the exact motion: a one-use lease ties the action, generated motion, mission contract and admission tolerance together, atomic dispatch rechecks current authority and measured joint drift, and revocation requests a carry-pitch quintic stop. Across a 672-case interface suite the gateway admitted all 120 benign cases and produced zero unauthorized dispatches in the attack suite; in synchronous simulation, dump-phase revocation cut maximum closed-site deposition from 1.23 to 0.33 cubic meters.

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