Angrick, Miguel
Johns Hopkins University · Johns Hopkins Medicine
5 papers on CoChatORCID 0000-0002-7050-3397
Most cited papers
- Verified
Speech synthesis from ECoG using densely connected 3D convolutional neural networks
Angrick, M., Herff, C., Mugler, E., Tate, M. C., Slutzky, M. W., Krusienski, D. J., & Schultz, T. (2019) · Journal of Neural Engineering
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 225
- Verified
Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity
Angrick, M., Ottenhoff, M. C., Diener, L., Ivucic, D., Ivucic, G., Goulis, S., Saal, J., Colon, A. J., Wagner, L., Krusienski, D. J., et al. (2021) · Communications Biology
EEG and Brain-Computer InterfacesSpeech Recognition and Synthesis
Cited by 125
- Verified
Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices
Herff, C., Diener, L., Angrick, M., Mugler, E., Tate, M. C., Goldrick, M. A., Krusienski, D. J., Slutzky, M. W., & Schultz, T. (2019) · Frontiers in Neuroscience
EEG and Brain-Computer InterfacesSpeech Recognition and Synthesis
Cited by 118
- Verified
Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS
Angrick, M., Luo, S., Rabbani, Q., Candrea, D. N., Shah, S., Milsap, G. W., Anderson, W. S., Gordon, C. R., Rosenblatt, K. R., Clawson, L., et al. (2023) · Scientific Reports
EEG and Brain-Computer InterfacesSpeech Recognition and Synthesis
Cited by 95
- Verified
Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months
Luo, S., Angrick, M., Coogan, C., Candrea, D. N., Wyse‐Sookoo, K., Shah, S., Rabbani, Q., Milsap, G. W., Weiss, A. R., Anderson, W. S., et al. (2023) · Advanced Science
EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
Cited by 90
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