At fixed total weight, nonvoice filters failed a shared speech and song test in six SEEG patients and 24 fMRI adults

We tested whether directions fitted to nonvoice sounds improve speech and song response estimates at a fixed sum of filter weights. Separate public studies supplied human SEEG and two fMRI cohorts. Development used two patients and four adults. A local code lock preceded tests in six other patients and 24 other adults. Every fitted choice used 128 source sounds. The target had 28 speech and song sounds. Mean gains over uniform shrinkage were +0.3446%, -0.0785% and +0.2898% of measured target energy. Their 95% person Student intervals were [-0.4284,+1.1177]%, [-0.3781,+0.2211]% and [+0.0088,+0.5707]%. Positive counts were 3/6, 6/16 and 6/8. The fixed shared rule failed, p=0.89494324. All 30 filter skills over zero were positive. All planned controls and negative outcomes remain. An exact conditional model had perfect source moments and shared signal axes. Four axes captured 42.1% of target signal, above a 26.7% reference. The source-calibrated filter still increased target loss. This model was not fitted to people. The contribution is a controlled benchmark and an interpretation limit. No common neural cause or positive cross-modal error gain is established. Source selection, shared schedules, fixed sounds, sparse clinical placement and unequal measurement filters limit scope. The package preserves code, source pins and terms, plans, every result, figures and repeat steps. Original neural arrays remain external.

human neuroscience · SEEG · fMRI · auditory responses · subspace transfer · shrinkage · negative result · reproducible benchmark