Electroencephalogram (EEG) Based Imagined Speech Decoding and Recognition
暂无分享,去创建一个
Guizhi Xu | Ibrahim Abdullahi Karaye | Sani Saminu | Abd El Kader Isselmou | Abubakar Abdulkarim | Adamu Halilu Jabire | Isah Salim Ahmad | Zhang Shuai | Guizhi Xu | Zhang Shuai | A. H. Jabire | S. Saminu | A. Abdulkarim | A. E. K. Isselmou
[1] Tomás Ward,et al. Artifact Removal in Physiological Signals—Practices and Possibilities , 2012, IEEE Transactions on Information Technology in Biomedicine.
[2] Anish A. Sarma,et al. Clinical translation of a high-performance neural prosthesis , 2015, Nature Medicine.
[3] Shrikanth Narayanan,et al. An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Norizam Sulaiman,et al. Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review , 2020, Frontiers in Neurorobotics.
[5] Iván E. Gareis,et al. Open access database of EEG signals recorded during imagined speech , 2017, Symposium on Medical Information Processing and Analysis.
[6] Jongin Kim,et al. Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with Electroencephalogram , 2016, BioMed research international.
[7] Heidi Christensen,et al. Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[8] Sahar Moghimi,et al. EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density , 2020, Biomed. Signal Process. Control..
[9] Tom Chau,et al. EEG Classification of Covert Speech Using Regularized Neural Networks , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[10] Robert Bogue. Brain-computer interfaces: control by thought , 2010, Ind. Robot.
[11] Michael D'Zmura,et al. Toward EEG Sensing of Imagined Speech , 2009, HCI.
[12] Yu Zhang,et al. Analysis and classification of speech imagery EEG for BCI , 2013, Biomed. Signal Process. Control..
[13] Ahmad Taher Azar,et al. Classification of EEG-Based Brain-Computer Interfaces , 2014, Advanced Intelligent Computational Technologies and Decision Support Systems.
[14] Pramit Saha,et al. Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG , 2019, AAAI.
[15] Frank Rudzicz,et al. Classifying phonological categories in imagined and articulated speech , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Diego A. Rojas,et al. Recognition of Spanish Vowels through Imagined Speech by using Spectral Analysis and SVM , 2016, J. Inf. Hiding Multim. Signal Process..
[17] S. Shenbaga Devi,et al. Imagined Speech Classification using EEG , 2014 .
[18] Boreom Lee,et al. Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features , 2018, IEEE Transactions on Biomedical Engineering.
[19] N. Ramsey,et al. Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. , 2016, The New England journal of medicine.
[20] Omar Farooq,et al. EEG based vowel classification during speech imagery , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
[21] Kendrick N Kay,et al. I can see what you see , 2009, Nature Neuroscience.
[22] Jerrin Thomas Panachakel,et al. A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG , 2020, ArXiv.
[23] Jonathan Berger,et al. Natural music evokes correlated EEG responses reflecting temporal structure and beat , 2020, NeuroImage.
[24] S. Shamma,et al. Musical expertise enhances the cortical tracking of the acoustic envelope during naturalistic music listening , 2020, Acoustical Science and Technology.
[25] Rabab K Ward,et al. A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals , 2007, Journal of neural engineering.
[26] Lingli Yu,et al. Applying Extreme Learning Machine to classification of EEG BCI , 2016, 2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
[27] Mariko Matsumoto,et al. Silent speech decoder using adaptive collection , 2014, IUI Companion '14.
[28] Francis R. Willett,et al. Restoration of reaching and grasping in a person with tetraplegia through brain-controlled muscle stimulation: a proof-of-concept demonstration , 2017, The Lancet.
[29] Amir Rastegarnia,et al. Methods for artifact detection and removal from scalp EEG: A review , 2016, Neurophysiologie Clinique/Clinical Neurophysiology.
[30] Yusuf Uzzaman Khan,et al. EEG based classification of imagined vowel sounds , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).
[31] R. Palaniappan,et al. Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] Edward F. Chang,et al. Speech synthesis from neural decoding of spoken sentences , 2019, Nature.
[33] G. Ojemann. Cortical organization of language , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[34] Raffaella Folli,et al. Optimizing Layers Improves CNN Generalization and Transfer Learning for Imagined Speech Decoding from EEG , 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).
[35] Gerwin Schalk,et al. Temporal evolution of gamma activity in human cortex during an overt and covert word repetition task , 2012, Front. Hum. Neurosci..
[36] M S Treder,et al. Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification , 2014, Journal of neural engineering.
[37] Naveed Muhammad,et al. Classification of Vowels from Imagined Speech with Convolutional Neural Networks , 2020, Comput..
[38] Tom Francart,et al. An Interpretable Performance Metric for Auditory Attention Decoding Algorithms in a Context of Neuro-Steered Gain Control , 2019, bioRxiv.
[39] Jonathan Berger,et al. Natural music evokes correlated EEG responses reflecting temporal structure and beat , 2019, NeuroImage.
[40] Dean J. Krusienski,et al. Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices , 2019, Front. Neurosci..
[41] Joseph G. Makin,et al. Real-time decoding of question-and-answer speech dialogue using human cortical activity , 2019, Nature Communications.
[42] B. V. K. Vijaya Kumar,et al. Subject identification from electroencephalogram (EEG) signals during imagined speech , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[43] Tanja Schultz,et al. EEG-based Speech Recognition - Impact of Temporal Effects , 2009, BIOSIGNALS.
[44] Marina Schmid,et al. An Introduction To The Event Related Potential Technique , 2016 .
[45] Hema A Murthy,et al. Comparison of Feature-Model Variants for coSpeech-EEG Classification , 2020, 2020 National Conference on Communications (NCC).
[46] Shrikanth S. Narayanan,et al. Neural Speech Decoding During Audition, Imagination and Production , 2020, IEEE Access.
[47] Jack L. Gallant,et al. Encoding and decoding in fMRI , 2011, NeuroImage.
[48] Jaime Gómez Gil,et al. Brain Computer Interfaces, a Review , 2012, Sensors.
[49] Luis Villaseñor Pineda,et al. Subjects identification using EEG-recorded imagined speech , 2019, Expert Syst. Appl..
[50] G. Thierry,et al. Renewal of the neurophysiology of language: functional neuroimaging. , 2005, Physiological reviews.
[51] Omar Farooq,et al. Vowel classification using wavelet decomposition during speech imagery , 2016, 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN).
[52] Francis R. Willett,et al. High performance communication by people with paralysis using an intracortical brain-computer interface , 2017, eLife.
[53] Mustaqeem,et al. CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network , 2020 .
[54] Stefan Oniga,et al. A Review of Processing Methods and Classification Algorithm for EEG Signal , 2020 .
[55] G. Hickok. Computational neuroanatomy of speech production , 2012, Nature Reviews Neuroscience.
[56] Debadatta Dash,et al. Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals , 2020, Frontiers in Neuroscience.
[57] Bernd T. Meyer,et al. Neuro-Steered Hearing Devices: Decoding Auditory Attention From the Brain , 2020 .
[58] Gaël Richard,et al. EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music , 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[59] Snehanshu Saha,et al. A Communication Paradigm Using Subvocalized Speech: Translating Brain Signals into Speech , 2016, Augmented Human Research.
[60] Aparajita Haldar,et al. EEG-based classification of bilingual unspoken speech using ANN , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[61] Francisco Sepulveda,et al. Classifying speech related vs. idle state towards onset detection in brain-computer interfaces overt, inhibited overt, and covert speech sound production vs. idle state , 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.
[62] Siyi Deng,et al. EEG classification of imagined syllable rhythm using Hilbert spectrum methods , 2010, Journal of neural engineering.
[63] Damien Coyle,et al. Classification of imagined spoken Word-Pairs using Convolutional Neural Networks , 2019, GBCIC.
[64] D. Poeppel,et al. The cortical organization of speech processing , 2007, Nature Reviews Neuroscience.
[65] B. V. K. Vijaya Kumar,et al. Imagined Speech Classification with EEG Signals for Silent Communication: A Preliminary Investigation into Synthetic Telepathy , 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.
[66] Tiago H. Falk,et al. Deep learning-based electroencephalography analysis: a systematic review , 2019, Journal of neural engineering.
[67] Makoto Sato,et al. Single-trial classification of vowel speech imagery using common spatial patterns , 2009, Neural Networks.
[68] Makoto Sato,et al. Spatial filtering and single-trial classification of EEG during vowel speech imagery , 2009, i-CREATe.
[69] Michael D'Zmura,et al. EEG-Based Discrimination of Imagined Speech Phonemes , 2011 .