Speech Recognition from MEG Data Using Covariance Filters
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50381-8_98
Reference16 articles.
1. Anumanchipalli, G.K., Chartier, J., Chang, E.F.: Speech synthesis from neural decoding of spoken sentences. Nature 568(7753), 493–498 (2019). https://doi.org/10.1038/s41586-019-1119-1
2. Norman-Haignere, S.V., Long, L.K., Devinsky, O., Doyle, W., Irobunda, I., Merricks, E.M., Mesgarani, N.: Multiscale temporal integration organizes hierarchical computation in human auditory cortex. Nat. Hum. Behav. 6(3), 455–469 (2022). https://doi.org/10.1038/s41562-021-01261-y
3. Tang, J., LeBel, A., Jain, S., Huth, A.G.: Semantic reconstruction of continuous language from non-invasive brain recordings. Nat. Neurosci. (2023). https://doi.org/10.1038/s41593-023-01304-9
4. Vvedensky, V., Filatov, I., Gurtovoy, K., Sokolov, M.: Alpha rhythm dynamics during spoken word recognition. Stud. Comput. Intell. 1064, 65–70 (2023). https://doi.org/10.1007/978-3-031-19032-2_7
5. Lizarazu, M., Carreiras, M., Molinaro, N.: Theta-gamma phase-amplitude coupling in auditory cortex is modulated by language proficiency. Hum. Brain Mapp. 44(7), 2862–2872 (2023). https://doi.org/10.1002/hbm.26250
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