New paper out in @EandHonline! We systematically reviewed how AI can help identify different types of #SensorineuralHearingLoss - turns out we need better methods before AI can truly transform hearing care 🦻 @UCLH_BRCHearing @UCLEarInstitute tinyurl.com/sr-snhl-ai #AI

Validated Methods for Synthesising Hearing Health Data for Machine Learning: A Comparative Study of KDE and VAE Approaches mdpi.com/3796240 #mdpiapplsci via @Applsci @liambarrett26

Our new paper is out in @ijlcd! We found that different stutter types are linked to specific phonological features: WWRs mainly on function words (vowel onsets), while prolongations, PWRs & breaks target content words. dx.doi.org/10.1111/1460-6984… #stuttering #speech

What is the link between hearing loss and dementia? We speak to Prof Anne Schilder (@UCLEarInstitute) to find out what the research tells us. ucl.ac.uk/brain-sciences/res…

Continued under estimation of hearing loss - but how do we change this? - AI? - Awareness - Remote testing theguardian.com/politics/202…

Holy shit...Stanford just built a system that converts research papers into working AI agents. It’s called Paper2Agent, and it literally: • Recreates the method in the paper • Applies it to your own dataset • Answers questions like the author This changes how we do science forever. Let me explain ↓

Safe to say I am late to the academic Twitter world... In that spirit, here is a 'oldie' from 2024 where we first document the length of different types of stutters in a stuttered speech corpus from with with @tang_kevin & @UCL_SpeechResGr doi.org/10.3389/fpsyg.2024.1…