Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio 事件

Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio arXiv:2603.08683v2 Announce Type: replace-cross Abstract: Autoregressive "language" models (LMs) trained on raw waveforms can be repurposed for lossless audio compression, but prior work is limited to 8-bit audio, leaving open whether such approaches work for practical settings (16/24-bit) and can compete with existing codecs. We benchmark LM-based compression on full-fidelity audio across diverse domains (music, spe