LILAC: An Idempotent Neural Speech Codec
Neural Audio Codecs are widely adopted in speech generation and editing. However, existing neural audio codecs are not idempotent: across the paper's twelve baseline systems, every configuration tested rewrites, on average, at least 15% of its tokens in a single decode-re-encode pass. This poses a problem for utilizing Neural Audio Codecs as token interfaces in pipelines where re-encoding decoded outputs can occur. We present LILAC, a fully convolutional 24 kHz speech codec at 9.375 Hz and 0.75 kbit/s that is codec idempotent by construction; re-encoding the decoded audio of any valid token stream returns the identical stream. LILAC achieves idempotency while maintaining competitive quali...
| Authors | June Young Yi, Dongwook Lee, Jiheum Yeom et al. |
|---|---|
| Primary category | cs.SD |
| Published | 6 August 2026 |
| Last updated at source | 26 August 2026 |
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