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

mcp
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SUMMARY

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

README.md

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).

Architecture Diagram

graph TD
    A[User Utterance & Turn End] --> B{Estimated Pipeline Latency >= 350ms?}
    B -->|No| C[Direct TTS Playback]
    B -->|Yes| D[Context Intent Classifier]
    D --> E[Select Pre-Synthesized Acoustic Filler]
    E --> F[Instant Sub-100ms Filler Playback]
    F --> G[Seamlessly Stitch Generated TTS Stream]

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.

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