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specspeech

Speculative Decoding for fast ASR and TTS inference

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GITHUB · launched Oct 18, 2026 · 23 upvotes (top 56%)

Similar launches

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Could you build this?

No Speculative decoding for ASR and TTS requires custom ML inference engineering, including draft-model design, GPU kernel work, and benchmarking. Vibe coding cannot substitute for that systems and research expertise.

What it would actually take: The core is a speculative decoding runtime that pairs a small draft model with a large target model for speech models, with verification and batching. A real version needs deep ML systems knowledge, GPU kernel optimization in CUDA or Triton, and careful accuracy-latency evaluation on speech benchmarks. Access to capable models and GPU hardware is also required.

Competitors

Other products that read as similar to this one : 1516 launches clear the similarity bar, closest 8 shown.

Attention rank: #783 of 1517 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 353 days after the earliest competitor.

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