Geometric Iterative Retrieval for Neural Audio Codec Resynthesis
By Leo Schmidt-Traub · Paper · cs.SD
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 syste