New preprint: Cloned voices are easier to understand in noise than their human originals: the voice cloning intelligibility benefit (with @hwanguc.bsky.social)
osf.io/preprints/ps...
New preprint: Cloned voices are easier to understand in noise than their human originals: the voice cloning intelligibility benefit (with @hwanguc.bsky.social)
osf.io/preprints/ps...
NEW PAPER ALERT! In a dual-task-fMRI paradigm, we used machine learning (XGBoost) as a robust and explainable approach to revealing the dissociable task effects on activation patterns for noise-vocoded speech processing in a set of frontotemporal regions that were hidden by inferential statisticsπ§ π.
Thank you Emma!
Many thanks Justinπ Very happy PhD faces!
Thank you Patti! it was such a pleasure to study under your supervision!π
What a joyful day to wrap up four and a half amazing years at UCL!
Huge thanks to my brilliant supervisor @pattiadank.bsky.social, the Speech on the Brain Lab, and everyone whoβs been part of the rideπ€©
UCL has always beenβand will always beβa meaningful part of meπ