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genpark-voice-turn-taking-endpoint-detector-skill

Real-time acoustic VAD & semantic turn-completion endpoint detector distinguishing mid-sentence hesitation pauses from finished speech turns.

Details

External ID
1389564685
Source
GITHUB
Company
—
Product
genpark-voice-turn-taking-endpoint-detector-skill
Website domain
genpark.ai
Launched
Sept. 26, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
ai-agent, conversational-ai, full-duplex, mcp, mcp-server, model-context-protocol, realtime-audio, speech-processing, turn-taking, voice-agent, zero-dependency
Fetched at
Sept. 27, 2026, 1:02 a.m.
Updated at
Sept. 27, 2026, 1:02 a.m.

Enrichment

Theme
audio and signal processing tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
turn-taking and voice endpoint detection for conversational ai
Manually corrected
False

Could you build this?

Partial While an MCP wrapper or standard speech API call is trivial, low-latency joint acoustic VAD and semantic turn-endpoint detection requires fine-tuned streaming ML models.

What it would actually take: A production endpoint detector needs an integrated pipeline combining high-frequency acoustic Voice Activity Detection (e.g., Silero VAD) with a fast, streaming semantic classifier (like an onnx-quantized lightweight transformer) running on sub-50ms audio chunks. The hard engineering problem is balancing real-time performance and edge latency so it accurately interrupts hesitation pauses without false-triggering cutoff on user speech. This requires expertise in speech ML, audio stream processing, and model quantization.

Competitors

Other products that read as similar to this one — 206 launches clear the similarity bar, closest 8 shown.

Attention rank: #94 of 207 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 331 days after the earliest competitor.

Other launches for this product

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