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Data-Space Optimization

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MeCo: One-Step MeanFlow-based Corrector for Multi-Channel Speech Separation

arXiv:2606.09677v1 Announce Type: cross Abstract: While discriminative models for multi-channel speech separation excel in reference-based metrics, they often exhibit suboptimal human listening quality. To address this, we propose a novel MeanFlow-based one-step generative corrector (MeCo). MeCo learns a conditional average velocity field to map discriminative estimates directly onto the clean speech manifold in a single step.

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BareWave: Waveform-Native Flow-Matching Text-to-Speech

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