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Content Accessibility at Scale: AI Voice Translations at Meta#

@Scale: Product 2026 digest Program Adjacent pick 28 October 2026

Abstract Materials

Esra Cansizoglu (Meta)

  • Why: The inference-side claims are what make this worth a look: streaming speech translation that improves accuracy and latency simultaneously (usually a tradeoff), plus a retrieval-side solution to cold start for dubbed content distribution.
  • What: How Meta produces and distributes AI voice-translated Reels at scale — the streaming translation approach and the retrieval-side exploration that solves cold start so a dubbed render actually finds its audience. (from abstract only)
  • How: Not detailed in the abstract; a linked featured article ("the research behind AI voice translations at Meta") carries the methodology.
  • Where applicable: Meta Reels distribution; the streaming-inference and cold-start-retrieval patterns are relevant to any latency-sensitive serving system with a content-distribution front end.