Relating the fundamental frequency of speech with EEG using a dilated convolutional network
Corentin Puffay, Jana Van Canneyt, Jonas Vanthornhout, Hugo Van hamme, Tom Francart
Abstract
sponsorship: The authors thank all the subjects for the recordings as well as Wendy Verheijen, Bernd Accou, Kyara Cloes, Amelie Algoet, Jolien Smeulders, Lore Kerkhofs, Sara Peeters, Merel Dillen, Ilham Gamgami, Amber Verhoeven, Lies Bollens, Vitor Vasconcelos and Amber Aerts for their help with data collection. Funding was provided by the KU Leuven Special Research Fund C24/18/099 (C2 project to Tom Francart and Hugo Van hamme), FWO research project G0D6720N, and an FWO post-doctoral fellowship to Jonas Vanthornhout (1290821N). (KU Leuven Special Research Fund|C24/18/099, FWO research project|G0D6720N, FWO|1290821N)
Topics & Concepts
Computer scienceSpeech recognitionElectroencephalographyPsychologyNeuroscienceEEG and Brain-Computer Interfaces