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

Energy and transcript heuristics for voice turn endpoint detection.

Details

External ID
1389565256
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. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 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
voice turn-taking endpoint detector for conversational ai agents
Manually corrected
False

Could you build this?

Partial The MCP tool wrapper interface can be vibe-coded easily, but real-time acoustic voice activity detection coupled with low-latency semantic turn-taking requires specialized DSP/audio ML models.

What it would actually take: To build a production system, developers need an edge-friendly audio processing pipeline streaming raw PCM audio over WebSockets, integrating models like Silero VAD alongside a fast causal language model (or fine-tuned acoustic-prosodic transformer) to classify mid-sentence pauses versus intent completion within 100-200ms latency. The hard part is achieving sub-millisecond frame processing without false interruptions during filler words ('um', 'uh'). It requires real-time systems programming (Rust/C++) and specialized audio/speech processing expertise.

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

Same idea, different domain

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