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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Temporal co-registration of simultaneous electromagnetic articulography and electroencephalography for precise articulatory and neural data alignment
AU - Friedrichs, Daniel
AU - Lancheros, Monica
AU - Kirkham, Sam
AU - He, Lei
AU - Clark, Andrew
AU - Lutz, Clemens
AU - Dellwo, Volker
AU - Moran, Steven
PY - 2024/9/4
Y1 - 2024/9/4
N2 - This study presents a temporal co-registration method combining electromagnetic articulography (EMA) and electroencephalography (EEG) to capture the neural planning and execution phases of speech with high precision. Traditional EEG alignment based on acoustic vocal onset is often inaccurate due to the variable lag between articulatory and acoustic onsets. Our approach synchronizes EMA-derived speech kinematics with EEG data, addressing these challenges. We also examined the interaction between EMA and EEG systems, focusing on the integrity of EMA signals in the presence of EEG equipment and the electromagnetic influence of EMA on EEG signal quality. The method achieved a mean alignment delay of 2.7 ms (SD = 0.4 ms), enabling detailed analysis of pre-articulatory brain activities. Additionally, our evaluations confirmed the robustness of EMA signals and EEG event-related potentials, supporting the method's precision, feasibility, and reliability for speech planning research.
AB - This study presents a temporal co-registration method combining electromagnetic articulography (EMA) and electroencephalography (EEG) to capture the neural planning and execution phases of speech with high precision. Traditional EEG alignment based on acoustic vocal onset is often inaccurate due to the variable lag between articulatory and acoustic onsets. Our approach synchronizes EMA-derived speech kinematics with EEG data, addressing these challenges. We also examined the interaction between EMA and EEG systems, focusing on the integrity of EMA signals in the presence of EEG equipment and the electromagnetic influence of EMA on EEG signal quality. The method achieved a mean alignment delay of 2.7 ms (SD = 0.4 ms), enabling detailed analysis of pre-articulatory brain activities. Additionally, our evaluations confirmed the robustness of EMA signals and EEG event-related potentials, supporting the method's precision, feasibility, and reliability for speech planning research.
U2 - 10.21437/Interspeech.2024-1299
DO - 10.21437/Interspeech.2024-1299
M3 - Conference contribution/Paper
SP - 3120
EP - 3124
BT - Proceedings of INTERSPEECH 2024
A2 - Lapidot, Itshak
A2 - Gannot, Sharon
PB - International Speech Communication Association
CY - Kos, Greece
ER -