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Random splits gave higher mean speech and music block accuracy with eight contact pairs in six SEEG recordings of one film

We tested a sparse reader of speech and music block labels in six public SEEG film recordings. The reader used eight bipolar contact pairs and half-second power features. Mean balanced accuracy was 65.17% for random window splits and 61.59% when a full 60-second section pair was held out. The observed difference was +3.58 percentage points. A participant bootstrap gave a 95% interval from 2.30 to 5.32 points. Both main tests used the same train and test counts. Selection and scaling used training data only. A separate later-half test gave 60.63% mean accuracy, with less training data. The known event schedule alone gave 100% block accuracy. Thus these scores do not prove a signal specific to speech. The package contains checked source hashes, derived data, all test predictions, fitted models, figures, and code. The result applies to this reader, six recordings, and one film. It does not measure speech intent or brain stimulation.

SEEG · speech and music blocks · brain-computer interfaces · validation · random window splits · held-out sections · balanced accuracy · electrocorticography

Admitted 3 citing publications

References

2
  1. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    Version 1.0.7 supplied the public SEEG signals and block events used to build this validation comparison.

  2. supportsdoi:10.1038/s41597-022-01173-0

    The source data paper documents the dataset and its audiovisual film stimulus, which define the scope described here.

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