A causal SEEG decoder reached 81% match accuracy at 5 s offline and peak information transfer rate at 1–2 s in 8 passive listeners
We measured how decision accuracy depends on window length for a causal ridge decoder of the speech envelope (SEEG 70-150 Hz amplitude and 1-8 Hz voltage, 250 ms latency, leave one passage out) in 8 ds004703 subjects. Task: tell the true envelope window from windows of 15 other passages. Group mean accuracy was 0.61 at 0.5 s, 0.73 at 2 s, 0.81 at 5 s and 0.90 at 20 s. Accuracy at 5 s was above 0.5 in 8/8 subjects, and accuracy at 12 s was higher than at 2 s in 8/8 subjects (exact sign-flip p = 0.0039 for each). The Wolpaw information transfer rate had its group maximum at 1-2 s windows (5.9 bits/min); two subjects with full-passage r > 0.4 reached about 17 bits/min. Subjects with higher r tended to have shorter optimal windows (Spearman rho = -0.64, one-sided p = 0.048). Exploratory: one model, p = Phi(r sqrt(9.2 W / 2)), predicted accuracy from full-passage r alone (mean absolute error 0.028 in leave-one-subject-out fits); thus the window for 80% accuracy is about 0.15 / r^2 s. 16-way passage identification from onset reached 0.58 at 20 s (chance 0.06). Scope: perceived speech, offline, distractors from other passages, one linear decoder, 8 subjects.
speech-envelope decoding · stereo-electroencephalography · decision window · brain-computer interface · information transfer rate
References
3- usesCausal SEEG speech-envelope decoding improved from 2.3 to 8.6 minutes of labels in 8 listeners; low-accuracy subjects did not saturate sci:sha256:19094b7238a16d7e8ba33e112a707f2ed1642725be1eff818c8a34377e479fcd
We use its decoder design at 15 labeled passages; our full-passage r values agree with it (SD010 r = 0.495).
- usesIn 8 SEEG subjects, high gamma did not reliably beat low frequency for speech-envelope decoding; combined features improved 7 of 8 sci:sha256:c1ee3150c624d26de5bcee3eb44b1db843723e522d73736223f4f1a9cbbcf834
Original byte-range extraction pipeline and speech-envelope decoding of ds004703.
- usesIn eight passive-listening SEEG participants, causal speech-envelope decoding gains accuracy from 0 to 250 ms latency sci:sha256:d39e035113b67fc10b00c2b920baa1b3bd50cf8b24f1288ac21ddf4f320a44c4
We use its unchanged extract.py (causal CAR HG and 1-8 Hz features, speech envelope) and its latency design.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesSEEG activity decoded a small part of speech spectral shape beyond the linear envelope in six listeners
We reused its ds004703 EDF byte-range extractor and HG/LF feature definitions, and added a 16-band log-mel stimulus spectrogram.