Fixed speech readers kept human preference in 20 iEEG patients and 16 fMRI adults; animal transfer was not shared

We tested sound transfer in separate public human iEEG and BOLD fMRI studies. Each reader learned from speech and other training clips. All nonspeech human voices, animal sounds and other test clips were absent from fitting. Four people per study supplied development. A local code lock preceded tests in 20 other patients and 16 other MRI adults. Mean animal-over-other AUC was 0.48393 and 0.80680. Their 95% person Student intervals were [0.43866,0.52920] and [0.78002,0.83358]. The shared positive test failed, Holm p=0.76849. Human-over-animal AUC was 0.70401 and 0.60817, with intervals [0.66027,0.74776] and [0.57683,0.63951]. This fixed-panel shared test, which also required human-over-other transfer, passed Holm correction, p=0.00008965. All reserved people had human-over-animal AUC above 0.5. Yet common test-clip resampling gave MRI range [0.42452,0.78125], and a common test-label reference gave p=0.1281. Broader human-over-animal transfer was not established. A fixed exchange of the electrical other-sound halves raised animal AUC to 0.55447. That supporting result did not replace the main failure. We retain all negative results and controls. A source audit corrected our initial electrical-window description. The input values did not change. The contribution is a direct animal transfer test and a checked benchmark, not the first report of human voice preference. Separate cohorts, unequal sound classes and sampling, source selection and measurement filters limit scope. No common neural cause or causal effect is established. The package preserves source pins and terms, code, licensed electrical inputs, scores, uncertainty draws, figures and repeat steps. Original MRI arrays stay external.

human neuroscience · intracranial EEG · fMRI · sound transfer · voice · animal sounds · stimulus uncertainty