zeeme-mobile-voice-qualification

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Qualify ZeeMe live voice reliability on iPhone, Samsung/Android, mobile browsers, and PWA builds before release. Use when mobile sessions show false barge-in interrupts, missed normal-volume speech, transcript gaps, or behavior that differs from desktop.

CheickDiakite-yikes By CheickDiakite-yikes schedule Updated 3/7/2026

name: zeeme-mobile-voice-qualification description: Qualify ZeeMe live voice reliability on iPhone, Samsung/Android, mobile browsers, and PWA builds before release. Use when mobile sessions show false barge-in interrupts, missed normal-volume speech, transcript gaps, or behavior that differs from desktop.

ZeeMe Mobile Voice Qualification

Run This Workflow

  1. Capture at least 3 traces per platform with ?liveDebug=1:
    • normal speaking volume, quiet room
    • normal speaking volume, mild handling noise (phone movement/touch)
    • intentional barge-in while assistant is speaking
  2. Run:
    • skills/zeeme-mobile-voice-qualification/scripts/mobile_voice_qualify.sh <trace1.json> <trace2.json> ...
  3. Compare output with references/mobile-qa-matrix.md.
  4. Tune at most 2 mobile sensitivity variables per iteration.
  5. Re-run the same trace scenarios and require trend improvement, not one-off wins.

Qualification Gates (Mobile)

  • Pass only if all are true:
    • user transcript chunks are present in each normal-speech scenario.
    • activity_window_no_input_transcription <= activity_window_transcription_received.
    • no repeated interrupted=true assistant cuts without user intent.
    • interrupt button path remains healthy when explicitly used.
  • Fail and block rollout when:
    • false interrupts dominate normal speech sessions.
    • transcripts arrive only when shouting or exaggerated volume.
    • Samsung/iPhone behavior diverges significantly without a known profile reason.

Tuning Order (Do Not Skip)

  1. Mobile barge-in strictness:
    • duration + peak/avg RMS minimums
    • threshold frame requirement
  2. Candidate speech stabilization:
    • candidate clear timing and transition discipline
  3. Only then evaluate broader VAD changes.

Keep Desktop Stable

  • Do not reuse aggressive mobile values on desktop.
  • Keep phone qualification separate from laptop acceptance.

Use Script Output

  • mobile_voice_qualify.sh provides:
    • per-trace classification
    • aggregate pass/fail counters
    • likely failure mode (over-sensitive vs under-capture vs socket/interrupt drift)
    • immediate next tuning direction

Use References

  • references/mobile-qa-matrix.md defines scenario matrix and release criteria.
Install via CLI
npx skills add https://github.com/CheickDiakite-yikes/my-ai-companion --skill zeeme-mobile-voice-qualification
Repository Details
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