[HTML][HTML] The cocktail-party problem revisited: early processing and selection of multi-talker speech

AW Bronkhorst - Attention, Perception, & Psychophysics, 2015 - Springer
How do we recognize what one person is saying when others are speaking at the same
time? This review summarizes widespread research in psychoacoustics, auditory scene …

[HTML][HTML] Computational modeling of the human auditory periphery: Auditory-nerve responses, evoked potentials and hearing loss

S Verhulst, A Altoe, V Vasilkov - Hearing research, 2018 - Elsevier
Abstract Models of the human auditory periphery range from very basic functional
descriptions of auditory filtering to detailed computational models of cochlear mechanics …

AMT 1. x: A toolbox for reproducible research in auditory modeling

P Majdak, C Hollomey… - Acta Acustica, 2022 - acta-acustica.edpsciences.org
The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and
application of computational auditory models with a particular focus on binaural hearing …

Predicting speech intelligibility with deep neural networks

C Spille, SD Ewert, B Kollmeier, BT Meyer - Computer Speech & Language, 2018 - Elsevier
An accurate objective prediction of human speech intelligibility is of interest for many
applications such as the evaluation of signal processing algorithms. To predict the speech …

[HTML][HTML] Nonintrusive objective measurement of speech intelligibility: A review of methodology

Y Feng, F Chen - Biomedical Signal Processing and Control, 2022 - Elsevier
Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

Speech perception in tones and noise via cochlear implants reveals influence of spectral resolution on temporal processing

AJ Oxenham, HA Kreft - Trends in Hearing, 2014 - journals.sagepub.com
Under normal conditions, human speech is remarkably robust to degradation by noise and
other distortions. However, people with hearing loss, including those with cochlear implants …

Nonintrusive speech intelligibility prediction using convolutional neural networks

AH Andersen, JM De Haan, ZH Tan… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Speech Intelligibility Prediction (SIP) algorithms are becoming popular tools within the
development and operation of speech processing devices and algorithms. However, many …

Predicting speech intelligibility in hearing-impaired listeners using a physiologically inspired auditory model

J Zaar, LH Carney - Hearing research, 2022 - Elsevier
This study presents a major update and full evaluation of a speech intelligibility (SI)
prediction model previously introduced by Scheidiger, Carney, Dau, and Zaar [(2018), Acta …

[HTML][HTML] Adaptive and selective time averaging of auditory scenes

R McWalter, JH McDermott - Current Biology, 2018 - cell.com
To overcome variability, estimate scene characteristics, and compress sensory input,
perceptual systems pool data into statistical summaries. Despite growing evidence for …

Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions

AH Andersen, JM de Haan, ZH Tan, J Jensen - Speech Communication, 2018 - Elsevier
Speech intelligibility prediction methods have recently gained popularity in the speech
processing community as supplements to time consuming and costly listening experiments …