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echoparley

End-to-end spoken-dialogue framework: deterministic semantic speech units, unified interleaved token streams with turn-control tokens, a duplex turn-taking state machine with barge-in and latency budgets, deterministic session replay, and turn-taking evaluation on planted synthetic dialogues.

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GITHUB · launched Oct 14, 2026 · 22 upvotes (top 55%)

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Could you build this?

No This is a research-grade spoken-dialogue system whose core components, such as semantic speech units, duplex turn-taking models, and evaluation, depend on novel speech ML research and training infrastructure.

What it would actually take: A real version requires training speech tokenizers and dialogue models on large audio corpora, plus low-latency streaming inference and a rigorous evaluation setup. This needs ML research expertise, substantial GPU compute, and data pipelines, which vibe coding cannot substitute for.

Competitors

Other products that read as similar to this one : 983 launches clear the similarity bar, closest 8 shown.

Attention rank: #518 of 984 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 349 days after the earliest competitor.

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