Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication-Reference-Cited by-同舟云学术

Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication

Published:2021 Issue: Volume:29 Page:1363-1374
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Lee Dong-Yeon^ORCID,Lee Minji^ORCID,Lee Seong-Whan^ORCID

Funder

Institute for Information and Communications Technology Promotion (IITP) Grant through the Korean Government

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant through the Korean Government (MSIT) (Artificial Intelligence Graduate School Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9363468/09481777.pdf?arnumber=9481777

Cited by 25 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. A Complete Scheme for Multi-Character Classification Using EEG Signals From Speech Imagery;IEEE Transactions on Biomedical Engineering;2024-08

2. Imagined Speech Recognition and the Role of Brain Areas Based on Topographical Maps of EEG Signal;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

3. Decoding imagined speech with delay differential analysis;Frontiers in Human Neuroscience;2024-05-17

4. Resting state EEG assisted imagined vowel phonemes recognition by native and non-native speakers using brain connectivity measures;Physical and Engineering Sciences in Medicine;2024-04-22

5. An Interpretable and Generalizable Speech Detector Based on a CNN-LSTM Framework;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14