The equalization cancellation model is often used to predict the binaural masking level
difference. Previously its application to speech in noise has required separate knowledge …

In studies investigating binaural processing in human listeners, relatively long and task-
dependent time constants of a binaural window ranging from 10 ms to 250 ms have been …

Speech Intelligibility Prediction (SIP) algorithms are becoming popular tools within the
development and operation of speech processing devices and algorithms. However, many …

Spatial release from masking (SRM) occurs when a target signal and competing masker
come from different directions. For a stationary noise interferer, it comprises an improvement …

In this paper we propose a Deep Neural Network (D NN) based Speech Enhancement (SE)
system that is designed to maximize an approximation of the Short-Time Objective …

Speech intelligibility prediction methods have recently gained popularity in the speech
processing community as supplements to time consuming and costly listening experiments …

Speech intelligibility prediction methods are necessary for hearing aid development.
However, many such prediction methods are categorized as intrusive metrics because they …

We propose a non-intrusive intelligibility measure for noisy and non-linearly processed
speech, ie a measure which can predict intelligibility from a degraded speech signal without …

The effect of personalized microphone array calibration on the performance of hearing aid
beamformers under noisy reverberant conditions is studied. The study makes use of a new …

Monaural intrusive speech intelligibility prediction (SIP) methods aim to predict the speech
intelligibility (SI) of a single-microphone noisy and/or processed speech signal using the …