Research Scientist // 🏂
London, England
Joined December 2024
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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
Liam Barrett retweeted
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
Liam Barrett retweeted
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…
Liam Barrett retweeted
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…
