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Tracing the Origins: Legacy Codec Identification in Neural Audio Transcoding — arXiv:2609.14916

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.14916
License (as archived): CC0-1.0
Archived: 2026-10-16T02:15:17.749Z
SHA-256 of the archived text: ac487f415b8890801e4788cc1a7b2a49646c50ff655daabfacbca103dd10bded
Stable URL of this page: https://metraipolis.com/documento/dc_fbfa5d658aa5

How to cite

Tracing the Origins: Legacy Codec Identification in Neural Audio Transcoding — arXiv:2609.14916 — arXiv (en), https://arxiv.org/abs/2609.14916 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fbfa5d658aa5 (Metraipolis archive dc_fbfa5d658aa5, sha256 ac487f415b8890801e4788cc1a7b2a49646c50ff655daabfacbca103dd10bded)

BibTeX

@misc{dcfbfa5d658aa5,
  title = {Tracing the Origins: Legacy Codec Identification in Neural Audio Transcoding — arXiv:2609.14916},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.14916},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fbfa5d658aa5; sha256 ac487f415b8890801e4788cc1a7b2a49646c50ff655daabfacbca103dd10bded},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.14916. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Residual Vector Quantization (RVQ)-based neural audio codecs (NACs) enable high-fidelity audio distribution at unprecedentedly low bitrates through discrete token-based representations. However, this shift disrupts traditional forensics, as non-linear neural transcoding obscures the underlying traces of legacy compression. This study defines the forensic gap and proposes a Transformer-based framework designed to leverage the hierarchical and temporal dependencies inherent in RVQ sequences. By modeling inter-layer causal relationships and dynamic forensic significance, our model effectively disentangles superimposed artifacts from legacy-to-neural transcoding. Experimental results achieve 97%+ accuracy for codec identification and robust joint identification performance across 32-128 kbps. These results demonstrate that traditional codec traces persist even after neural transcoding, supporting the feasibility and necessity of neural-codec-aware audio forensics.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-15 in cs.MM).
Categorie arXiv: Sound (cs.SD) ; Multimedia (cs.MM); Audio and Speech Processing (eess.AS).
Pagina del lavoro: https://arxiv.org/abs/2609.14916 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T01:53:51.133Z dalla pagina https://arxiv.org/catchup/cs.MM/2026-09-15?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).