End-to-end translation of human neural activity to speech with a dual–dual generative adversarial network-Reference-Cited by-同舟云学术

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End-to-end translation of human neural activity to speech with a dual–dual generative adversarial network

Published:2023-10 Issue: Volume:277 Page:110837
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Guo Yina^ORCID,Liu Ting,Zhang Xiaofei,Wang Anhong,Wang Wenwu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. Decoding visual neural representations by multimodal learning of brain-visual-linguistic features;Du;IEEE Trans. Pattern Anal. Mach. Intell.,2023

2. P. Singh, P. Pandey, K. Miyapuram, S. Raman, EEG2IMAGE: Image Reconstruction from EEG Brain Signals, in: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2023, pp. 1–5.

3. Multimodal neural network for rapid serial visual presentation brain computer interface;Manor;Front. Comput. Neurosci.,2016

4. An improved P300 pattern in BCI to catch user’s attention;Jin;J. Neural Eng.,2017

5. The elicitation of steady-state visual evoked potentials during sleep;Norton;Psychophysiology,2017

Cited by 2 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

1. Manifold attention-enhanced multi-domain convolutional network for decoding motor imagery intention;Knowledge-Based Systems;2024-07

2. On the role of generative artificial intelligence in the development of brain-computer interfaces;BMC Biomedical Engineering;2024-05-02

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