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A new Rust-based DFT code achieves sub-meV accuracy against Quantum ESPRESSO via a novel, fixture-driven validation system.
Tracking text progress directly from latent speech tokens rather than rendered audio cuts alignment error by 88% while slashing compute overhead by 20x.
X2Streaming-ASR slashes commit latency to as low as 27 ms while achieving superior recognition accuracy, setting a new benchmark for streaming ASR systems.
X2Streaming-TTS achieves true token-level synthesis with a median time to first audio token of just 15.8 ms, outperforming traditional pseudo-streaming models in quality and responsiveness.