Search Results for author:
Found 7 papers, 3 papers with code
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model
This paper describes two intelligibility prediction systems derived from a pretrained noise-robust automatic speech recognition (ASR) model for the second Clarity Prediction Challenge (CPC2).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Energy-Based Models For Speech Synthesis
It also describes how sampling from EBMs can be performed using Langevin Markov Chain Monte-Carlo (MCMC).
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction
Non-intrusive intelligibility prediction is important for its application in realistic scenarios, where a clean reference signal is difficult to access.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners
An accurate objective speech intelligibility prediction algorithms is of great interest for many applications such as speech enhancement for hearing aids.
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition
End-to-end models have achieved significant improvement on automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
DHASP: Differentiable Hearing Aid Speech Processing
In this paper, we explore an alternative approach to finding the optimal fitting by introducing a hearing aid speech processing framework, in which the fitting is optimised in an automated way using an intelligibility objective function based on the HASPI physiological auditory model.
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
The Morris Water Maze is commonly used in behavioural neuroscience for the study of spatial learning with rodents.
