Miguel Angrick

According to our database, Miguel Angrick authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach.

Miguel Angrick, Maarten C. Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Albert J. Colon, G. Louis Wagner, Dean J. Krusienski, Pieter Leonard Kubben, Tanja Schultz, Christian Herff

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Speech synthesis from invasive brain signals: From offline analysis to closed-loop speech decoding.

Miguel Angrick

PhD thesis, 2021

Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework.

Jonas Kohler, Maarten C. Ottenhoff, Sophocles Goulis, Miguel Angrick, Albert J. Colon, G. Louis Wagner, Simon Tousseyn, Pieter Leonard Kubben, Christian Herff

CoRR, 2021

Speech Activity Detection from Stereotactic EEG.

Pedram Zanganeh Soroush, Miguel Angrick, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Speech Synthesis from Stereotactic EEG using an Electrode Shaft Dependent Multi-Input Convolutional Neural Network Approach.

Miguel Angrick, Maarten C. Ottenhoff, Sophocles Goulis, Albert J. Colon, G. Louis Wagner, Dean J. Krusienski, Pieter Leonard Kubben, Tanja Schultz, Christian Herff

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Neurocomputing, 2019

Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles.

Tanja Schultz, Miguel Angrick, Lorenz Diener, Dennis Küster, Moritz Meier, Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features.

Jochen Weiner, Miguel Angrick, Srinivasan Umesh, Tanja Schultz

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

interpretation of convolutional neural networks for speech regression from electrocorticography.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Session-Independent Array-Based EMG-to-Speech Conversion using Convolutional Neural Networks.

Lorenz Diener, Gerrit Felsch, Miguel Angrick, Tanja Schultz

Proceedings of the 13th ITG Symposium on Speech Communication, 2018