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audio_fidelity_mcp

by sittiev

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to run offline voice-agent call forensics over local stdio, scoring recordings and reading/verifying evidence to isolate failures. It also proposes fixes and regression checks so broken calls can be pinned and prevented from shipping again.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to check whether generated audio matches a prompt in any language, rank takes, run technical QC, judge fit against images or video, and search or dedupe a local sound library. Each tool returns the same JSON records as the matching CLI command, with the model loaded once and everything running locally.
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      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Audio perception for AI agents. Measure loudness, clipping, noise and pitch; view spectrograms; split audio into events; transcribe speech; compare before/after; and clean up, edit or synthesize sound. Runs locally, no API keys.
      14
      218 PyPI
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    • A
      license
      A
      quality
      C
      maintenance
      Loudness compliance verdicts against formal broadcast standards (EBU R128, ATSC A/85). Measures audio/video with ffmpeg and returns a pass/fail verdict with exact deltas and remediation parameters.
      2
      37 PyPI
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients to measure a track's loudness and peak levels, strip artifacts left by AI generators, compare mastering presets, and master single tracks or batches to streaming targets via a hosted remote server or a local stdio bridge. Tracks are supplied as public HTTPS links, with analysis, cleanup and previews free and full masters limited by a daily free quota or credits.
      9
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Turns silent defects in AI-generated video and audio — wrong speaking pace, mismatched loudness, truncation, dead air, late captions, broken layout — into hard assertion failures inside tests and CI. Enables agents to check individual files or whole output directories against platform presets, returning pass/fail exit codes and human-readable bug reports instead of raw measurements.
      23 PyPI
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