Harnessing the Multi-Phasal Nature of Speech-EEG for Enhancing Imagined Speech Recognition
Analyzing speech-electroencephalogram (EEG) is pivotal for developing non-invasive and naturalistic brain-computer interfaces. Recognizing that the nature of human communication involves multiple phases like audition, imagination, articulation, and production, this study uncovers the shared cognitiv...
Saved in:
Main Authors: | Rini Sharon, Mriganka Sur, Hema Murthy |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Open Journal of Signal Processing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10839023/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Syllable as a Synchronization Mechanism That Makes Human Speech Possible
by: Yi Xu
Published: (2024-12-01) -
Co-speech gestures influence the magnitude and stability of articulatory movements: evidence for coupling-based enhancement
by: Karee Garvin, et al.
Published: (2025-01-01) -
Age dependent deficits in speech recognition in quiet and noise are reflected in MGB activity and cochlear onset coding
by: Konrad Dapper, et al.
Published: (2025-01-01) -
A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system
by: R. Shelishiyah, et al.
Published: (2025-01-01) -
Imagination and Literary Forms in of Orfi Shirazy Poems
by: یدالله بهمنی, et al.
Published: (2011-12-01)