Chaos
Naturalness, pronunciation, speaker identity, emotion, continuity, latency and cost pull in different directions behind one subjective impression.
Lilambd Sample Project / AI voice · multilingual product QA
AI Voice Product Test QA
Three synthetic voice-product states are compared across English and Japanese, single and multi-speaker scenarios, latency, cost, retries and continuity.
state transformation
Operation
Scenario matrix → metric definitions → row evidence → weighted projection → failure gate → issue and recommendation register.
Usable state
A reviewer can choose a bounded pilot, exclude a failed Japanese multi-speaker state and see which tests need repetition.
uncompressed residual
What the model does not erase.
Human listening, cultural appropriateness, rights clearance and production context cannot be compressed into one score.
observable proof
12 synthetic scenario rows
five quality dimensions
severe failure preserved before averaging
return to proof library