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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5632
Title: Envisioned speech recognition using EEG sensors
Authors: Kumar P.
Saini R.
Pratim Roy, Partha
Sahu P.K.
Dogra D.P.
Published in: Personal and Ubiquitous Computing
Abstract: Recent advances in EEG technology makes brain-computer-interface (BCI) an exciting field of research. BCI is primarily used to adopt with the paralyzed human body parts. However, BCI in envisioned speech recognition using electroencephalogram (EEG) signals has not been studied in details. Therefore, developing robust speech recognition system using EEG signals was proposed. In this paper, we propose a coarse-to-fine-level envisioned speech recognition framework with the help of EEG signals that can be thought of as a serious contribution in this field of research. Coarse-level classification is used to differentiate/categorize text and non-text classes using random forest (RF) classifier. Next, a finer-level imagined speech recognition of each class has been carried out. EEG data of 30 text and not-text classes including characters, digits, and object images have been imagined by 23 participants in this study. A recognition accuracy of 85.20 and 67.03% has been recorded at coarse- and fine-level classifications, respectively. The proposed framework outperforms the existing research work in terms of accuracy. We also show the robustness in envisioned speech recognition. © 2017, Springer-Verlag London Ltd.
Citation: Personal and Ubiquitous Computing (2018), 22(1): 185-199
URI: https://doi.org/10.1007/s00779-017-1083-4
http://repository.iitr.ac.in/handle/123456789/5632
Issue Date: 2018
Publisher: Springer London
Keywords: Assistive technology
EEG signals
Electroencephalography (EEG)
Envisioned speech
Random forest
ISSN: 16174909
Author Scopus IDs: 57212043589
57190288840
56880478500
57195927080
35408975400
Author Affiliations: Kumar, P., Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India
Saini, R., Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India
Roy, P.P., Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India
Sahu, P.K., Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India
Dogra, D.P., School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, India
Corresponding Author: Kumar, P.; Department of Computer Science and Engineering, IIT RoorkeeIndia; email: pradeep.iitr7@gmail.com
Appears in Collections:Journal Publications [CS]

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