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ORCIDDebadatta Dash
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2020 – today
- 2023
[c18]Debadatta Dash
, Paul Ferrari, Abbas Babajani-Feremi, David Harwath, Amir Borna, Jun Wang:
Subject Generalization in Classifying Imagined and Spoken Speech with MEG. NER 2023: 1-4- 2021
- [c17]Debadatta Dash, Paul Ferrari, Abbas Babajani-Feremi, Amir Borna, Peter D. D. Schwindt, Jun Wang:
Magnetometers vs Gradiometers for Neural Speech Decoding. EMBC 2021: 6543-6546 - [c16]Debadatta Dash, Paul Ferrari, Amir Borna, Joonas Iivanainen, Peter D. D. Schwindt, Jun Wang:
Visual Decoding of Phrases from Occipital Neuromagnetic Signals. NER 2021: 230-233 - [c15]Debadatta Dash, Paul Ferrari, Karinne Berstis, Jun Wang:
Imagined, Intended, and Spoken Speech Envelope Synthesis from Neuromagnetic Signals. SPECOM 2021: 134-145 - 2020
- [j2]Debadatta Dash, Alan Wisler, Paul Ferrari, Elizabeth M. Davenport, Joseph A. Maldjian, Jun Wang:
MEG Sensor Selection for Neural Speech Decoding. IEEE Access 8: 182320-182337 (2020) - [j1]Debadatta Dash, Paul Ferrari, Satwik Dutta, Jun Wang:
NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors 20(8): 2248 (2020) - [c14]Debadatta Dash, Paul Ferrari, Jun Wang:
Role of Brainwaves in Neural Speech Decoding. EUSIPCO 2020: 1357-1361 - [c13]Debadatta Dash, Paul Ferrari, Jun Wang:
Decoding Speech Evoked Jaw Motion from Non-invasive Neuromagnetic Oscillations. IJCNN 2020: 1-8 - [c12]Debadatta Dash, Paul Ferrari, Angel W. Hernandez-Mulero, Daragh Heitzman, Sara G. Austin, Jun Wang:
Neural Speech Decoding for Amyotrophic Lateral Sclerosis. INTERSPEECH 2020: 2782-2786
2010 – 2019
- 2019
- [c11]Debadatta Dash, Paul Ferrari, Daragh Heitzman, Jun Wang:
Decoding Speech from Single Trial MEG Signals Using Convolutional Neural Networks and Transfer Learning. EMBC 2019: 5531-5535 - [c10]Debadatta Dash, Alan Wisler, Paul Ferrari, Jun Wang:
Towards a Speaker Independent Speech-BCI Using Speaker Adaptation. INTERSPEECH 2019: 864-868 - [c9]Debadatta Dash, Paul Ferrari, Jun Wang:
Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG Signals. INTERSPEECH 2019: 1203-1207 - [c8]Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang:
Automatic Speech Activity Recognition from MEG Signals Using Seq2Seq Learning. NER 2019: 340-343 - 2018
- [c7]Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang:
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI 2018: 163-172 - [c6]Debadatta Dash, Bharat B. Biswal, Anil Kumar Sao, Jun Wang:
Automatic Recognition of Resting State fMRI Networks with Dictionary Learning. BI 2018: 249-259 - [c5]Debadatta Dash, Paul Ferrari, Saleem Malik, Jun Wang:
Overt Speech Retrieval from Neuromagnetic Signals Using Wavelets and Artificial Neural Networks. GlobalSIP 2018: 489-493 - [c4]Debadatta Dash, Anil Kumar Sao, Jun Wang, Bharat B. Biswal:
How Many FMRI Scans are Necessary and Sufficient for Resting Brain Connectivity Analysis? GlobalSIP 2018: 494-498 - [c3]Debadatta Dash, Myung Jong Kim, Kristin Teplansky, Jun Wang:
Automatic Speech Recognition with Articulatory Information and a Unified Dictionary for Hindi, Marathi, Bengali and Oriya. INTERSPEECH 2018: 1046-1050 - [c2]Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal:
The model order limit: Deep sparse factorization for resting brain. ISBI 2018: 1244-1247 - [c1]Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal:
Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. ISBI 2018: 1280-1283 - 2014
- [i2]Debadatta Dash:
Advanced Signal Processing Techniqes to Study Normal and Epileptic EEG. CoRR abs/1401.5791 (2014) - [i1]Sabyasachi Mukhopadhyay, Debadatta Dash, Asish Mitra, Paritosh Bhattacharya:
A comparative study between seasonal wind speed by Fourier and Wavelet analysis. CoRR abs/1407.8476 (2014)
Coauthor Index
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