Decoding speech perception from non-invasive brain recordings
Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
The role of artificial intelligence in decoding speech from EEG signals: a scoping review
Background: Brain traumas, mental disorders, and vocal abuse can result in permanent or
temporary speech impairment, significantly impairing one's quality of life and occasionally …
temporary speech impairment, significantly impairing one's quality of life and occasionally …
Dewave: Discrete encoding of eeg waves for eeg to text translation
The translation of brain dynamics into natural language is pivotal for brain-computer
interfaces (BCIs), a field that has seen substantial growth in recent years. With the swift …
interfaces (BCIs), a field that has seen substantial growth in recent years. With the swift …
Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification
State-of-the-art brain-to-text systems have achieved great success in decoding language
directly from brain signals using neural networks. However, current approaches are limited …
directly from brain signals using neural networks. However, current approaches are limited …
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Decoding text stimuli from cognitive signals (eg fMRI) enhances our understanding of the
human language system, paving the way for building versatile Brain-Computer Interface …
human language system, paving the way for building versatile Brain-Computer Interface …
The speech neuroprosthesis
Loss of speech after paralysis is devastating, but circumventing motor-pathway injury by
directly decoding speech from intact cortical activity has the potential to restore natural …
directly decoding speech from intact cortical activity has the potential to restore natural …
Dewave: Discrete eeg waves encoding for brain dynamics to text translation
The translation of brain dynamics into natural language is pivotal for brain-computer
interfaces (BCIs), a field that has seen substantial growth in recent years. With the swift …
interfaces (BCIs), a field that has seen substantial growth in recent years. With the swift …
Subject-independent meta-learning framework towards optimal training of eeg-based classifiers
HW Ng, C Guan - Neural Networks, 2024 - Elsevier
Advances in deep learning have shown great promise towards the application of performing
high-accuracy Electroencephalography (EEG) signal classification in a variety of tasks …
high-accuracy Electroencephalography (EEG) signal classification in a variety of tasks …
A new one-dimensional testosterone pattern-based EEG sentence classification method
Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus,
many papers have been proposed about EEG signals. In particular, machine learning …
many papers have been proposed about EEG signals. In particular, machine learning …
Inner speech classification using eeg signals: A deep learning approach
B van den Berg, S van Donkelaar… - 2021 IEEE 2nd …, 2021 - ieeexplore.ieee.org
Brain computer interfaces (BCIs) provide a direct communication pathway between humans
and computers. There are three major BCI paradigms that are commonly employed: motor …
and computers. There are three major BCI paradigms that are commonly employed: motor …