Holding speech tokens fixed made the Q8 advantage clearer

This follow-up applied the Turbo method to Multilingual FP32, Q8 and Q6. Thirty-six full generations and thirty-six controlled decoder outputs formed the primary cohort; warm timing and FP32 self-repeats were retained separately.

A fresh protocol for a different model

Same tokens, closer decoder

Mean controlled log-mel difference was 0.332138 dB for Q8 and 1.000980 for Q6. Controlled speaker cosine was 0.999778 versus 0.998462. Full-generation pooled strict WER was 18/216 for FP32, 29/216 for Q8 and 43/216 for Q6.

Those totals preserve omissions and cap-reaching outliers. Q8 omitted a second sentence in two English clips; one Q6 Spanish output hit the 400-token ceiling with substantially changed pacing. Good averages did not erase these failures.

Check the numerical floor

The original decoder’s self-repeats differed at roughly float32 rounding scale. None of twelve controls were PCM16 byte-identical, although their maximum float amplitude delta was only 1.19e-7. The final protocol measured that floor instead of requiring an unrealistic equality condition.

Q8 remained the selected fidelity default for this small corpus. No human listening, emotion or broad speaker-identity claim follows from the cosine values.

Evidence and publication boundary

This is an edited account of the recorded experiment. The linked archive is private; the methods, aggregate findings and limits are included above. Reference recordings, raw conversations, authentication material and workstation configuration are excluded.