Recognition of Oral Speech from MEG Data Using Covariance Filters
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11055-024-01612-y.pdf
Reference17 articles.
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2. Anurova, I., Vetchinnikova, S., Dobrego, A., et al., “Event-related responses reflect chunk boundaries in natural speech,” NeuroImage, 255, 119203 (2022), https://doi.org/10.1016/j.neuroimage.2022.119203.
3. Arnulfo, G., Wang, S. H., Myrov, V., et al., “Long-range phase synchronization of high-frequency oscillations in human cortex,” Nat. Commun., 11, No. 1, 5363 (2020), https://doi.org/10.1038/s41467-020-18975-8.
4. Che, B., Ciria, L. F., Hu, C., and Ivanov, P. C., “Ensemble of coupling forms and networks among brain rhythms as function of states and cognition,” Commun. Biol., 5, No. 1, 82 (2022), https://doi.org/10.1038/s42003-022-03017-4.
5. Dash, D., Ferrari, P., and Wang, J., “Decoding imagined and spoken phrases from non-invasive neural (MEG) signals,” Front. Neurosci., 14, 290 (2020), https://doi.org/10.3389/fnins.2020.00290.
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