Audio: bounded voice and signal candidate screening - #6
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Compare reproducible voice and signal variants with matched benign controls and explicit candidate provenance. AI-Review: ChatGPT
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Summary
Adds bounded candidate screening for matched harmful and benign spoken requests:
PairedDirectvaries a fixed request across deterministic speed, echo, band-pass, and seeded-noise recipes.AcousticVoiceBestOfNvaries configured TTS voice presets while keeping the request fixed.Each candidate records its group, index, recipe, synthesis identity, and audio hash. An optional validation manifest can fail closed on incomplete or unscoreable candidate pairs. Without that manifest, no independent-ASR intelligibility claim is made.
This is a bounded diagnostic inspired by Best-of-N Jailbreaking, not a reproduction of its random composed search or stop-on-success procedure. Voice results are meaningful only when hashes and on-target qualification show that the backend honoured the requested preset.
Relationship to other work
The upstream duplicate search found no open bounded audio candidate-screening PR. This is a focused child of the spoken tool-risk PR and does not include generated audio, reports, local endpoint configuration, or experiment artifacts.
Verification
Run locally with Python 3.12:
Result:
713 passed.Plugin/translation integration selection:
2 passed.Result: clean.
No new dependency is added.
AI assistance
ChatGPT was used to review this change.