Miguel Angrick
Miguel Angrick
Verified email at uni-bremen.de
Cited by
Cited by
Speech synthesis from ECoG using densely connected 3D convolutional neural networks
M Angrick, C Herff, E Mugler, MC Tate, MW Slutzky, DJ Krusienski, ...
Journal of neural engineering 16 (3), 036019, 2019
Generating natural, intelligible speech from brain activity in motor, premotor, and inferior frontal cortices
C Herff, L Diener, M Angrick, E Mugler, MC Tate, MA Goldrick, ...
Frontiers in neuroscience 13, 1267, 2019
Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features.
J Weiner, M Angrick, S Umesh, T Schultz
INTERSPEECH, 2324-2328, 2018
Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings
M Angrick, C Herff, G Johnson, J Shih, D Krusienski, T Schultz
Neurocomputing 342, 145-151, 2019
Session-independent array-based EMG-to-speech conversion using convolutional neural networks
L Diener, G Felsch, M Angrick, T Schultz
Speech Communication; 13th ITG-Symposium, 1-5, 2018
Interpretation of Convolutional Neural Networks for Speech Regression from Electrocorticography
M Angrick, C Herff, G Johnson, J Shih, D Krusienski, T Schultz
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2018
Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity
M Angrick, MC Ottenhoff, L Diener, D Ivucic, G Ivucic, S Goulis, J Saal, ...
Communications Biology 4 (1), 1-10, 2021
Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach.
M Angrick, C Herff, GD Johnson, JJ Shih, DJ Krusienski, T Schultz
INTERSPEECH, 2777-2781, 2020
Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles
T Schultz, M Angrick, L Diener, D Küster, M Meier, DJ Krusienski, C Herff, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
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