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A state-of-the-art review of EEG-based imagined speech decoding
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
[HTML][HTML] The potential for a speech brain–computer interface using chronic electrocorticography
A brain–computer interface (BCI) is a technology that uses neural features to restore or
augment the capabilities of its user. A BCI for speech would enable communication in real …
augment the capabilities of its user. A BCI for speech would enable communication in real …
Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS
Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity
recorded with intracranial electrodes may pave the way toward novel communication …
recorded with intracranial electrodes may pave the way toward novel communication …
Neurolinguistics research advancing development of a direct-speech brain-computer interface
A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …
imagined speech, then processes and decodes these signals to produce a linguistic output …
The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings
Recent studies have demonstrated that it is possible to decode and synthesize various
aspects of acoustic speech directly from intracranial measurements of electrophysiological …
aspects of acoustic speech directly from intracranial measurements of electrophysiological …
[HTML][HTML] Key considerations in designing a speech brain-computer interface
Restoring communication in case of aphasia is a key challenge for neurotechnologies. To
this end, brain-computer strategies can be envisioned to allow artificial speech synthesis …
this end, brain-computer strategies can be envisioned to allow artificial speech synthesis …
Progress in speech decoding from the electrocorticogram
Recent advances in neuroimaging methods have improved our ability to explore the
neurological processes underlying speech and language. As a result of these investigations …
neurological processes underlying speech and language. As a result of these investigations …
Iterative alignment discovery of speech-associated neural activity
Objective. Brain–computer interfaces (BCIs) have the potential to preserve or restore speech
in patients with neurological disorders that weaken the muscles involved in speech …
in patients with neurological disorders that weaken the muscles involved in speech …
Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication
O Il**a, J Derix, RT Schirrmeister… - Brain-Computer …, 2017 - Taylor & Francis
The ultimate goal of brain-computer-interface (BCI) research on speech restoration is to
develop devices which will be able to reconstruct spontaneous, naturally spoken language …
develop devices which will be able to reconstruct spontaneous, naturally spoken language …
An interpretable deep learning model for speech activity detection using electrocorticographic signals
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate
deep learning into the processing pipeline. These models are typically opaque and can …
deep learning into the processing pipeline. These models are typically opaque and can …