Lavandier and Culling [Lavandier, M. and Culling, J. F. 2010. Prediction of binaural speech intelligibility against noise in rooms. J. Acoust. Soc. Am. 127, 387–399] demonstrated a method of predicting human speech reception thresholds for speech in combined noise and reverberation. An updated version of the model is presented, which is substantially more computationally efficient. The updated model makes similar predictions for the SRT data considered by Lavandier and Culling, which tested the model’s ability to predict effects of binaural unmasking and room colouration. In addition, we show here that the model accurately predicts the effects of headshadow and reproduces a range of data sets from the literature, including situations with m...
Speech intelligibility is known to be mainly determined by the signal-to-noise level difference at a...
Auditory interference scenarios, where a listener wishes to attend to some target audio while being ...
This PhD work aims to propose a model predicting the perceived intelligibility of a target speech ma...
Lavandier and Culling [Lavandier, M. and Culling, J. F. 2010. Prediction of binaural speech intellig...
When speech is in competition with interfering sources in rooms, monaural indicators of intelligibil...
Reverberation usually degrades speech intelligibility for spatially separated speech and noise sourc...
In the presence of competing speech or noise, reverberation degrades speech intelligibility not only...
Room acoustic indicators of intelligibility have focused on the effects of temporal smearing of spee...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
In listening experiments that assess spatial hearing (e.g. localization) in the presence of backgrou...
This document is supplement to "Assessment of speech perception based on binaural room impulse respo...
The two most important aspects in binaural speech perception—better-ear-listening and spatial-releas...
The current study presents an update and extensive evaluation of a previously introduced speech-inte...
AbstractA distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech inte...
Speech intelligibility is known to be mainly determined by the signal-to-noise level difference at a...
Auditory interference scenarios, where a listener wishes to attend to some target audio while being ...
This PhD work aims to propose a model predicting the perceived intelligibility of a target speech ma...
Lavandier and Culling [Lavandier, M. and Culling, J. F. 2010. Prediction of binaural speech intellig...
When speech is in competition with interfering sources in rooms, monaural indicators of intelligibil...
Reverberation usually degrades speech intelligibility for spatially separated speech and noise sourc...
In the presence of competing speech or noise, reverberation degrades speech intelligibility not only...
Room acoustic indicators of intelligibility have focused on the effects of temporal smearing of spee...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
In listening experiments that assess spatial hearing (e.g. localization) in the presence of backgrou...
This document is supplement to "Assessment of speech perception based on binaural room impulse respo...
The two most important aspects in binaural speech perception—better-ear-listening and spatial-releas...
The current study presents an update and extensive evaluation of a previously introduced speech-inte...
AbstractA distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech inte...
Speech intelligibility is known to be mainly determined by the signal-to-noise level difference at a...
Auditory interference scenarios, where a listener wishes to attend to some target audio while being ...
This PhD work aims to propose a model predicting the perceived intelligibility of a target speech ma...