A neural speech decoding framework leveraging deep learning and speech synthesis

X Chen, R Wang, A Khalilian-Gourtani, L Yu… - Nature Machine …, 2024 - nature.com
Decoding human speech from neural signals is essential for brain–computer interface (BCI)
technologies that aim to restore speech in populations with neurological deficits. However, it …

Towards voice reconstruction from EEG during imagined speech

YE Lee, SH Lee, SH Kim, SW Lee - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
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 …

Synthesizing speech from intracranial depth electrodes using an encoder-decoder framework

J Kohler, MC Ottenhoff, S Goulis, M Angrick… - arXiv preprint arXiv …, 2021 - arxiv.org
Speech Neuroprostheses have the potential to enable communication for people with
dysarthria or anarthria. Recent advances have demonstrated high-quality text decoding and …

Synthesizing speech by decoding intracortical neural activity from dorsal motor cortex

M Wairagkar, LR Hochberg… - 2023 11th …, 2023 - ieeexplore.ieee.org
Losing the ability to speak due to brain injury or neurodegenerative diseases such as ALS
can be debilitating. Brain-computer interfaces could potentially provide affected individuals a …

[HTML][HTML] Subject-Agnostic Transformer-Based Neural Speech Decoding from Surface and Depth Electrode Signals

J Chen, X Chen, R Wang, C Le, A Khalilian-Gourtani… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Objective: This study investigates speech decoding from neural signals captured by
intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (ie …

Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural network

A Petrosyan, A Voskoboinikov… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Speech decoding, one of the most intriguing brain-computer interface
applications, opens up plentiful opportunities from rehabilitation of patients to direct and …

Brain Computer Interfaces: The Future of Communication Between the Brain and the External World

A ALMofleh, M Alseddiqi, O Najam… - Science, Engineering …, 2023 - setjournal.com
This paper provides a comprehensive review of the current state of research on Brain
Computer Interfaces (BCIs) and their potential applications. The objective of this study was …

Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals

YE Lee, SH Lee, S Kim, JS Lee… - 2024 12th International …, 2024 - ieeexplore.ieee.org
Recent advances in brain-computer interface (BCI) technology, particularly based on
generative adversarial networks (GAN), have shown great promise for improving decoding …

Speech Synthesis from Brain Signals Based on Generative Model

YE Lee, SH Kim, SH Lee, JS Lee… - … Winter Conference on …, 2023 - ieeexplore.ieee.org
Brain imaging studies of human speech are an active and intriguing research topic that is
generating novel ways of communication through human brain signals. Efforts to generate …

[PDF][PDF] Brain Computer Interfaces: The Future of Communication Between the Brain and the External World

M Alseddiqi, AL Anwar, O Najam, L Albalooshi… - 2023 - pdfs.semanticscholar.org
This paper provides a comprehensive review of the current state of research on Brain
Computer Interfaces (BCIs) and their potential applications. The objective of this study was …