Author:
Soroush Pedram Z.,Herff Christian,Ries Stephanie K.,Shih Jerry J.,Schultz Tanja,Krusienski Dean J.
Abstract
AbstractRecent studies have demonstrated that it is possible to decode and synthesize various aspects of acoustic speech directly from intracranial measurements of electrophysiological brain activity. In order to continue progressing toward the development of a practical speech neuroprosthesis for the individuals with speech impairments, better understanding and modeling of imagined speech processes are required. The present study uses intracranial brain recordings from participants that performed a speaking task with trials consisting of overt, mouthed, and imagined speech, representing various degrees of decreasing behavioral output. Speech activity detection models are constructed using spatial, spectral, and temporal brain activity features, and the features and model performances are characterized and compared across the three degrees of behavioral output. The results indicate there is a hierarchy in which the relevant channels for the lower behavioral output modes form nested subsets of the relevant channels from the higher behavioral output modes. This provides important insights for the elusive goal of developing more effective imagined speech decoding models with respect to the better-established overt speech decoding counterparts.
Publisher
Cold Spring Harbor Laboratory
Reference64 articles.
1. P. Z. Soroush and M. B. Shamsollahi , “A non-user-based BCI application for robot control,” in 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2018, pp. 36–41.
2. P. Soroush , M. Angrick , J. Shih , T. Schultz , and D. Krusienski , “Speech activity detection from stereotactic eeg,” in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2021, pp. 3402–3407.
3. Brain-to-text: decoding spoken phrases from phone representations in the brain;Frontiers in neuroscience,2015
4. Speech synthesis from ECoG using densely connected 3d convolutional neural networks;Journal of neural engineering,2019
5. Generating natural, intelligible speech from brain activity in motor, premotor, and inferior frontal cortices;Frontiers in neuroscience,2019
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献