Robust Imagined Speech Production from Electrocorticography with Adaptive Frequency Enhancement-Reference-Cited by-同舟云学术

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Robust Imagined Speech Production from Electrocorticography with Adaptive Frequency Enhancement

Published:2024-06-30 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Xu Xu¹,Fu Chong¹,Chen Junxin²,Jeon Gwanggil³,Camacho David⁴

Affiliation:

1. Northeastern University,School of Computer Science and Engineering,Shenyang,China,110004

2. Dalian University of Technology,School of Software,Dalian,China,116621

3. Incheon National University,College of Information Technology,Incheon,Korea,22012

4. Universidad Politécnica de Madrid,Department of Computer Systems Engineering,Madrid,Spain,28031

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651465.pdf?arnumber=10651465

Reference30 articles.

2. Progress in speech decoding from the electrocorticogram

3. Using the electrocorticographic speech network to control a brain–computer interface in humans

4. Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans

5. Word pair classification during imagined speech using direct brain recordings

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