Why audio teams build their own codecs: owning every bit of the pipeline
ariG23498 · x · 2026-11-13
An explainer thread on audio codecs, plus a practitioner's argument for building your own:
What is an audio codec?
- Converts speech into tokens and back into audio
- Pipeline: Encode (raw audio → feature vectors) → Quantize (vectors → discrete tokens) → Decode (tokens → reconstructed waveform)
Why build your own instead of using a third party?
The commenter's pattern observed over years: owning all bits of the pipeline makes you more efficient on the metrics that actually matter — a third-party codec limits optimization for your model's specific goals.
Related event: Liquid AI Unveils 74M-Parameter Streaming Audio Codec LiquidCodec(3 posts)→
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