1 citations · 1 across the 3 of their papers we have counts for
3 papers
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models
Rhiannon Mogridge, George Close, Robert Sutherland +4
Neural networks have been successfully used for non-intrusive speech intelligibility prediction. Recently, the use of feature representations sourced from intermediate layers of pr…
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model
Zehai Tu, Ning Ma, Jon Barker
This paper describes two intelligibility prediction systems derived from a pretrained noise-robust automatic speech recognition (ASR) model for the second Clarity Prediction Challe…
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
Gerardo Roa Dabike, Scott Bannister, Jennifer Firth +8
The Cadenza project aims to improve the audio quality of music for those who have a hearing loss. This is being done through a series of signal processing challenges, to foster bet…