Author

He-Lin Wang

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#artificial intelligence Mar 2026

Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

It is demonstrated that self-supervised representation reconstruction (SSRR) loss fundamentally improves codec training and performance, and enhances intelligibility by reconstructing distilled self-supervised representations from codec outputs.

Junhyeok Lee, Xiluo He, Jihwan Lee et al. · arXiv.org · 2 citations