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Leo Schmidt-Traub

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Preprint Aug 2026

Geometric Iterative Retrieval for Neural Audio Codec Resynthesis

Neural audio codecs based on Residual Vector Quantization (RVQ) have become the dominant discrete representation for token-based general audio generation, yet resynthesizing high-quality audio from coarse codec tokens remains an open problem and bounds the fidelity of every system that generates them. Prior work has fr...

Leo Schmidt-Traub, Frédéric Berdoz, Luca A. Lanzendörfer et al. · 0 citations

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