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Translating imagined speech from human brain activity into voice is a challenging and absorbing research issue that can provide new means of human communication via brain signals.
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
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Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
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Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features
Nguyen, C. H.; Karavas, G. K.; and Artemiadis, P. 2017 · 2017
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Biosignal-based spoken communication: A survey
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Cooney, C.; Folli, R.; and Coyle, D. 2018 · 2018
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Speech synthesis from ECoG using densely connected 3D convolutional neural networks
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Neural decoding of imagined speech and visual imagery as intuitive paradigms for BCI communication
Lee, S.-H.; Lee, M.; and Lee, S.-W. 2020 · 2020
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Synchronization between overt speech envelope and EEG oscillations during imagined speech
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Herff, C.; Diener, L.; Angrick, M.; Mugler, E.; Tate, M. C.; Goldrick, M. A.; Krusienski, D. J.; Slutzky, M. W.; and Schultz, T. 2019 · 2019
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EEG representations of spatial and temporal features in imagined speech and overt speech
Lee, S.-H.; Lee, M.; and Lee, S.-W. 2019 · 2019
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SPEAK YOUR MIND! Towards imagined speech recognition with hierarchical deep learning
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timsainb/noisereduce: v1.0
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Gaddy, D.; and Klein, D. 2020 · 2020
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HuBERT: Self-supervised speech representation learning by masked prediction of hidden units
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Imagined speech increases the hemodynamic response and functional connectivity of the dorsal motor cortex
Si, X.; Li, S.; Xiang, S.; Yu, J.; and Ming, D. 2021 · 2021
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Open vocabulary Electroencephalography-To-Text decoding and zero-shot sentiment classification
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Towards closed-Loop speech synthesis from stereotactic EEG: A unit delection approach
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Shared computational principles for language processing in humans and deep language models
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Imagined speech can be decoded from low-and cross-frequency intracranial EEG features
Proix, T.; Delgado Saa, J.; Christen, A.; Martin, S.; Pasley, B. N.; Knight, R. T.; Tian, X.; Poeppel, D.; Doyle, W. K.; Devinsky, O.; et al. 2022 · 2022
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