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Author

Luca A. Lanzendörfer

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Preprint Aug 2026

Geometric Iterative Retrieval for Neural Audio Codec Resynthesis

This work argues that this dichotomy of resynthesis as a choice between discrete token prediction and continuous regression is incomplete and introduces geometric iterative retrieval, a paradigm that uses the RVQ layer hierarchy itself as a natural iterative decomposition in continuous codebook space.

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

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