Extracting different levels of speech information from EEG using an LSTM-based model
Mohammad Jalilpour Monesi, Bernd Accou, Tom Francart, Hugo Van hamme
Abstract
sponsorship: The work is funded by KU Leuven Special Research Fund C24/18/099 (C2 project to Tom Francart and Hugo Van hamme) and the Flemish Government under "Onderzoeksprogramma AI Vlaanderen". This project has also received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 637424, ERC starting Grant to Tom Francart). (KU Leuven Special Research Fund|C24/18/099, Flemish Government under "Onderzoeksprogramma AI Vlaanderen", European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme|637424)
Topics & Concepts
Computer scienceElectroencephalographySpeech recognitionArtificial intelligenceNatural language processingPattern recognition (psychology)PsychologyNeuroscienceNeural Networks and Applications