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Measurement-Based Bitrate-Energy-Quality Analysis of Neural Audio Codec Decoders on Laptop and Phone Platforms — arXiv:2609.34524

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.34524
License (as archived): CC0-1.0
Archived: 2026-10-08T01:37:08.334Z
SHA-256 of the archived text: 80384023acaaeb0ae111532ea54ae3bb594909d3a3fa4dff0ae8846bb23af077
Stable URL of this page: https://metraipolis.com/documento/dc_e779b0764959

How to cite

Measurement-Based Bitrate-Energy-Quality Analysis of Neural Audio Codec Decoders on Laptop and Phone Platforms — arXiv:2609.34524 — arXiv (en), https://arxiv.org/abs/2609.34524 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_e779b0764959 (Metraipolis archive dc_e779b0764959, sha256 80384023acaaeb0ae111532ea54ae3bb594909d3a3fa4dff0ae8846bb23af077)

BibTeX

@misc{dce779b0764959,
  title = {Measurement-Based Bitrate-Energy-Quality Analysis of Neural Audio Codec Decoders on Laptop and Phone Platforms — arXiv:2609.34524},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.34524},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_e779b0764959; sha256 80384023acaaeb0ae111532ea54ae3bb594909d3a3fa4dff0ae8846bb23af077},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.34524. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Neural audio codecs can achieve similar objective quality at lower bitrates than conventional codecs, but their decoder-side computational cost may offset this bitrate advantage on battery-powered client devices. This paper presents a measurement-based rate--energy--quality analysis of four neural audio codecs--EnCodec, DAC, HILCodec, and SNAC--and two conventional baselines, AAC-LC and Opus, on laptop and phone platforms. Speech and music are evaluated separately using the original-reference ViSQOL protocol. For the main comparison, operating points are matched by selecting the measured point nearest to the midpoint of the common overlap in treatment-level mean ViSQOL. A secondary analysis includes only explicitly evaluated bitrate settings. Decoder energy is measured as idle-subtracted energy per second of audio (J/s), and results are summarized as the median of three repeated runs for execution-valid runtime and device paths. Pairwise break-even transmission-energy thresholds are then derived analytically from the measured decoder energy and bitrate. At the matched-quality operating points, the evaluated neural codecs achieved similar ViSQOL scores at lower bitrates but generally required more decoder-side energy than the applicable conventional codecs. EnCodec produced the lowest neural break-even thresholds in both matched-quality cohorts on both platforms. By contrast, several DAC and SNAC comparisons on the Phone XNNPACK CPU path exceeded 200 mJ/kbit, and their full-band Phone configurations required more than 1 s to decode 1 s of audio. These results show that lower bitrate alone does not guarantee an energy benefit: deployment efficiency also depends on decoder complexity, the effective runtime and device mapping, execution validity, accelerator availability, and the transmission-energy coefficient.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-29 in eess.SP).
Categorie arXiv: Audio and Speech Processing (eess.AS) ; Signal Processing (eess.SP).
Pagina del lavoro: https://arxiv.org/abs/2609.34524 — 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 2026-10-08T01:11:02.858Z dalla pagina https://arxiv.org/catchup/eess.SP/2026-09-29?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).