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alphaparkinc/genpark-conversational-filler-audio-latency-masker-skill

GenPark AI Agent Skill - Conversational audio acoustic filler injector masking LLM inference and TTS latency with contextual conversational cues.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-11
ai-agentsaudio-streamingconversational-aigenparkmcpmodel-context-protocolproduct-huntrealtime-audiospeech-to-speechturn-takingvoice-ai
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About genpark-conversational-filler-audio-latency-masker-skill

GenPark AI Agent Skill - Conversational Filler Audio Latency Masker

Acoustic conversational filler injector eliminating dead air during LLM reasoning and TTS audio synthesis pipelines.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Features - Perception Latency Masking: Sub-100ms immediate audio confirmation keeps the call sounding human and responsive. - Deterministic Semantic Mapping: Matches filler tone to the complexity of the inquiry. - Zero Dependencies: Pure Python standard library.

From the project README.

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