Print Email Facebook Twitter DAIS: The Delft Database of EEG Recordings of Dutch Articulated and Imagined Speech Title DAIS: The Delft Database of EEG Recordings of Dutch Articulated and Imagined Speech Author Dekker, Bo (Student TU Delft) Schouten, A.C. (TU Delft Biomechanical Engineering) Scharenborg, O.E. (TU Delft Multimedia Computing) Department Biomechanical Engineering Date 2023 Abstract Silent speech interfaces could enable people who lost the ability to use their voice or gestures to communicate with the external world, e.g., through decoding the person’s brain signals when imagining speech. Only a few and small databases exist that allow for the development and training of brain computer interfaces (BCIs) that can decode imagined speech from recorded brain signals. Here, we present an open database consisting of electroencephalography (EEG) and speech data from 20 participants recorded during the covert (imagined) and actual articulation of 15 Dutch prompts. A validation speaker-independent classification experiment using a ResNet-50 model with spatial-spectral-temporal features extracted from the EEG signals obtained an average accuracy of 70.6% for the classification of rest vs. covert vs. articulated speech trials. This and observed structural differences in the EEG signals between covert and articulated speech demonstrate that the EEG signals in the three classes contain discriminative information. Subject Brain computer interfacescovert (imagined) speech, electroencephalography (EEG)ResNet To reference this document use: http://resolver.tudelft.nl/uuid:53e8ba52-452a-4951-b3f3-c284f105dff0 DOI https://doi.org/10.1109/ICASSP49357.2023.10096145 Publisher IEEE, Piscataway Embargo date 2023-11-05 ISBN 978-1-7281-6328-4 Source Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Event 48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023, 2023-06-04 → 2023-06-10, Rhodes Island, Greece Series ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1520-6149, 2023-June Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2023 Bo Dekker, A.C. Schouten, O.E. Scharenborg Files PDF DAIS_The_Delft_Database_o ... Speech.pdf 1.24 MB Close viewer /islandora/object/uuid:53e8ba52-452a-4951-b3f3-c284f105dff0/datastream/OBJ/view