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CORDIS - Résultats de la recherche de l’UE
CORDIS

Robust Speech Encoding in Impaired Hearing

Publications

The variability in potential biomarkers for cochlear synaptopathy after recreational noise exposure

Auteurs: Tine Vande Maele, Sarineh Keshishzadeh, Nele De Poortere, Ingeborg Dhooge, Hannah Keppler, Sarah Verhulst
Publié dans: 2021
Éditeur: BioXriv
DOI: 10.1101/2021.01.17.427007

Contributions of Low- and High-Frequency Sensorineural Hearing Deficits to Speech Intelligibility in Noise

Auteurs: Sarah Verhulst; Anna Warzybok
Publié dans: Biorxiv preprint, Numéro 1, 2019
Éditeur: Cold Spring Harbor Laboratory
DOI: 10.1101/358127

Predicting synapse counts in living humans by combining computational models with auditory physiology

Auteurs: Brad N. Buran, Garnett P. McMillan, Sarineh Keshishzadeh, Sarah Verhulst, Naomi Bramhall
Publié dans: 2021
Éditeur: OSFpreprints
DOI: 10.31219/osf.io/f8bx6

A convolutional neural-network framework for modelling auditory sensory cells and synapses

Auteurs: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
Publié dans: conditionally accepted, 2021
Éditeur: Nature Communications Biology
DOI: 10.1101/2020.11.25.388546

Machines hear better when they have ears

Auteurs: Baby, Deepak; Verhulst, Sarah
Publié dans: Numéro 1, 2018, Page(s) 6
Éditeur: Arxiv

Towards a differential diagnosis of cochlear synaptopathy and outer-hair-cell deficits in mixed sensorineural hearing loss pathologies

Auteurs: Viacheslav Vasilkov, Sarah Verhulst
Publié dans: in review, 2019
Éditeur: N/A
DOI: 10.1101/19008680

Festival effect on cochlear synaptopathy (Maele et al., 2021)

Auteurs: Maele, Tine Vande; Keshishzadeh, Sarineh; De Poortere, Nele; Dhooge, Ingeborg; Keppler, Hannah; Verhulst, Sarah
Publié dans: Journal of Speech, Language, and Hearing Research, Numéro 1, 2021
Éditeur: ASHA
DOI: 10.23641/asha.16821283.v1

A Neural-Network Framework for the Design of Individualised Hearing-Loss Compensation

Auteurs: Fotios Drakopoulos and Sarah Verhulst
Publié dans: 2022
Éditeur: ArXiv
DOI: 10.48550/arxiv.2207.07091

Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications

Auteurs: Arthur Van Den Broucke, Deepak Baby, Sarah Verhulst
Publié dans: Interspeech 2020, 2020, Page(s) 2842-2846
Éditeur: ISCA
DOI: 10.21437/interspeech.2020-2818

Otoacoustic Emissions in a Deep-Neural-Network Model ofCochlear Mechanics

Auteurs: Arthur Van Den Broucke, Fotios Drakopoulos, Deepak Baby, Sarah Verhuls
Publié dans: 2022
Éditeur: MOH

From derived-band envelope-following responses to individualized models of near- and supra-threshold hearing deficits

Auteurs: Sarineh Keshishzadeh, Sarah Verhulst
Publié dans: Proceedings of the International Symposium on Auditory and Audiological Research : vol. 7 : auditory learning in biological and artificial system, 2019, ISSN 2596-5522
Éditeur: ISAAR

Learning from model-based approaches for hearing lLoss compensation: which speech features are enhanced in machine-learning-based audio algorithms for cochlear synaptopathy compensation?

Auteurs: M. Wouters, F. Drakopoulos, S. Verhulst
Publié dans: 2022 ARO, the 45th Annual MidWinter Meeting, Abstract book, 2022, Page(s) 304-305
Éditeur: ARO

Individualized cochlear models based on distortion product otoacoustic emissions

Auteurs: Sarineh Keshishzadeh, Sarah Verhulst
Publié dans: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, ISBN 9781728111780
Éditeur: IEEE
DOI: 10.1109/embc46164.2021.9629808

How attending music festivals affects near and supra-threshold markers of hearing

Auteurs: Tine VandeMaele, Sarineh Keshishzadeh, Hannah Keppler, Ingeborg Dhooge, Sarah Verhulst
Publié dans: e-Forum Acusticum 2020, Proceedings, 2020, Page(s) 625-626
Éditeur: Forum Acusticum
DOI: 10.48465/fa.2020.1022

Speech intelligibility in tinnitus and ageing : exploring the role of impaired peripheral and brainstem processing

Auteurs: Sarah Verhulst, Sarineh Keshishzadeh, Hannah Keppler, ngeborg Dhooge
Publié dans: 2022 ARO, the 45th Annual MidWinter Meeting, Abstract book, Numéro Annual, 2022, Page(s) 2
Éditeur: ARO

Individual Temporal Fine-structure Detection Differences across Younger and Older Listeners: Disentangling Sources of Sensorineural Hearing Loss using a Model-based Approach

Auteurs: Alejandro Osses, Markus Garrett, Sarah Verhulst
Publié dans: e-Forum Acusticum 2020, Proceedings, 2020, Page(s) 1397
Éditeur: Forum Acusticum
DOI: 10.48465/fa.2020.1061

Applying biophysical auditory periphery models for real-time applications and studies of hearing impairment

Auteurs: Arthur van Den Broucke, Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
Publié dans: e-Forum Acusticum 2020, 2020, Page(s) 3005-3006
Éditeur: Forum Acusticum
DOI: 10.48465/fa.2020.1026

A Differentiable Optimisation Framework for The Design of Individualised DNN-based Hearing-Aid Strategies

Auteurs: Fotios Drakopoulos, Sarah Verhulst
Publié dans: 2022, ISBN 978-1-6654-0540-9
Éditeur: IEEE
DOI: 10.1109/icassp43922.2022.9747683

Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty

Auteurs: Deepak Baby, Sarah Verhulst
Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 106-110, ISBN 978-1-4799-8131-1
Éditeur: IEEE
DOI: 10.1109/icassp.2019.8683799

Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems

Auteurs: Deepak Baby, Sarah Verhulst
Publié dans: Interspeech 2018, 2018, Page(s) 3264-3268
Éditeur: ISCA
DOI: 10.21437/interspeech.2018-1237

Tonotopic sensitivity to supra-threshold hearing deficits of the envelope following response evoked by broadband stimuli

Auteurs: Sarineh Keshishzadeh, Viacheslav Vasilkov, Sarah Verhulst
Publié dans: Proceedings of the 23rd International Congress on Acoustics, 2019, Page(s) 6513-6518, ISBN 978-3-939296-15-7
Éditeur: DEGA

Hearing-impaired sound perception: What can we learn from a biophysical model of the human auditory periphery?

Auteurs: Alejandro Osses, Frauke Ernst, Sarah Verhulst
Publié dans: Proceedings of the 23rd International Congress on Acoustics, 2019, Page(s) 678-685, ISBN 978-3-939296-15-7
Éditeur: DEGA

Real-time audio processing on a Raspberry Pi using deep neural networks

Auteurs: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
Publié dans: Proceedings of the 23rd International Congress on Acoustics, 2019, ISBN 978-3-939296-15-7
Éditeur: DEGA

Low and high-frequency hearing mechanisms in ageing and tinnitus

Auteurs: Verhulst, Sarah; Keshishzadeh, Sarineh; Taghon, Baziel; Keppler, Hannah; Dhooge, Ingeborg
Publié dans: Proceedings of the 19th International Symposium on Hearing: Psychoacoustics, Physiology of Hearing, and Auditory Modelling, from the Ear to the Brain (ISH2022), 2022
Éditeur: ISH 2022
DOI: 10.5281/zenodo.6576950

Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications

Auteurs: Sarah Verhulst, Fotios Drakopoulos, Arthur Van Den Broucke, Deepak Baby
Publié dans: JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Numéro 2021, Vol 49 Suppl. 1, 2021, Page(s) S30-S31, ISSN 0929-5313
Éditeur: Springer

A convolutional neural-network framework for modelling auditory sensory cells and synapses

Auteurs: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
Publié dans: COMMUNICATIONS BIOLOGY, Numéro 2021 Vol 4 Numéro 1, 2021, ISSN 2399-3642
Éditeur: Nature Researc
DOI: 10.1038/s42003-021-02341-5

Towards Personalized Auditory Models: Predicting Individual Sensorineural Hearing-Loss Profiles From Recorded Human Auditory Physiology

Auteurs: Sarineh Keshishzadeh, Markus Garrett, Sarah Verhulst
Publié dans: Trends in Hearing, Numéro 25, 2021, Page(s) 233121652098840, ISSN 2331-2165
Éditeur: SAGE Publications Inc.
DOI: 10.1177/2331216520988406

Envelope following responses predict speech-in-noise performance in normal-hearing listeners

Auteurs: Anita M. Mepani, Sarah Verhulst, Kenneth E. Hancock, Markus Garrett, Viacheslav Vasilkov, Kara Bennett, Victor de Gruttola, M. Charles Liberman, Stéphane F. Maison
Publié dans: Journal of Neurophysiology, Numéro 125/4, 2021, Page(s) 1213-1222, ISSN 0022-3077
Éditeur: American Physiological Society
DOI: 10.1152/jn.00620.2020

Enhancing the sensitivity of the envelope-following response for cochlear synaptopathy screening in humans: The role of stimulus envelope

Auteurs: Viacheslav Vasilkov, Markus Garrett, Manfred Mauermann, Sarah Verhulst
Publié dans: Hearing Research, Numéro 400, 2021, Page(s) 108132, ISSN 0378-5955
Éditeur: Elsevier BV
DOI: 10.1016/j.heares.2020.108132

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

Auteurs: Sarah Verhulst, Alessandro Altoè, Viacheslav Vasilkov
Publié dans: Hearing Research, Numéro 360, 2018, Page(s) 55-75, ISSN 0378-5955
Éditeur: Elsevier BV
DOI: 10.1016/j.heares.2017.12.018

The search for noise-induced cochlear synaptopathy in humans: Mission impossible?

Auteurs: Naomi Bramhall, Elizabeth Francis Beach, Bastian Epp, Colleen G. Le Prell, Enrique A. Lopez-Poveda, Christopher J. Plack, Roland Schaette, Sarah Verhulst, Barbara Canlon
Publié dans: Hearing Research, Numéro 377, 2019, Page(s) 88-103, ISSN 0378-5955
Éditeur: Elsevier BV
DOI: 10.1016/j.heares.2019.02.016

Suprathreshold Psychoacoustics and Envelope-Following Response Relations: Normal-Hearing, Synaptopathy and Cochlear Gain Loss

Auteurs: Sarah Verhulst, Frauke Ernst, Markus Garrett, Viacheslav Vasilkov
Publié dans: Acta Acustica united with Acustica, Numéro 104/5, 2018, Page(s) 800-803, ISSN 1610-1928
Éditeur: S. Hirzel Verlag
DOI: 10.3813/aaa.919227

Acquisition of Subcortical Auditory Potentials With Around-the-Ear cEEGrid Technology in Normal and Hearing Impaired Listeners

Auteurs: Markus Garrett, Stefan Debener, Sarah Verhulst
Publié dans: Frontiers in Neuroscience, Numéro 13, 2019, ISSN 1662-453X
Éditeur: Frontiers
DOI: 10.3389/fnins.2019.00730

The derived-band envelope following response and its sensitivity to sensorineural hearing deficits

Auteurs: Sarineh Keshishzadeh, Markus Garrett, Viacheslav Vasilkov, Sarah Verhulst
Publié dans: Hearing Research, Numéro 392, 2020, Page(s) 107979, ISSN 0378-5955
Éditeur: Elsevier BV
DOI: 10.1016/j.heares.2020.107979

A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications

Auteurs: Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
Publié dans: Nature Machine Intelligence, Numéro 3/2, 2021, Page(s) 134-143, ISSN 2522-5839
Éditeur: Nature Publishing Group
DOI: 10.1038/s42256-020-00286-8

The variability in potential biomarkers for cochlear synaptopathy after recreational noise exposure

Auteurs: Tine Vande Maele, Sarineh Keshishzadeh, Nele De Poortere, Ingeborg Dhooge, Hannah Keppler, Sarah Verhulst
Publié dans: JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, Numéro Volume 64 Numéro 12, 2021, Page(s) 4964-4981, ISSN 1092-4388
Éditeur: American Speech-Language-Hearing Association
DOI: 10.1044/2021_jslhr-21-00064

A comparative study of eight human auditory models of monaural processing

Auteurs: Vecchi, Alejandro Osses; Varnet, Léo; Carney, Laurel H.; Dau, Torsten; Bruce, Ian C.; Verhulst, Sarah; Majdak, Piotr
Publié dans: Acta Acustica, Numéro Volume 6, 2022, 2022, Page(s) 24, ISSN 2681-4617
Éditeur: EDP Sciences
DOI: 10.1051/aacus/2022008

Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies

Auteurs: Fotios Drakopoulos, Viacheslav Vasilkov, Alejandro Osses Vecchi, Tijmen Wartenberg, Sarah Verhulst
Publié dans: Hearing Research, 2022, Page(s) 108569, ISSN 0378-5955
Éditeur: Elsevier BV
DOI: 10.1016/j.heares.2022.108569

Acquired hearing deficits

Auteurs: Sarah Verhulst, Markus Garrett
Publié dans: The senses : a comprehensive reference, 2020, Page(s) 861-870, ISBN 9780128054093
Éditeur: Elsevier

Droits de propriété intellectuelle

METHOD AND SYSTEM FOR DETERMINING THE INTEGRITY OF AUDITORY NERVE FIBERS AND SYNAPSES

Numéro de demande/publication: 20 21052848
Date: 2021-02-05

A CLOSED-LOOP METHOD TO INDIVIDUALIZE NEURAL-NETWORK-BASED AUDIO SIGNAL PROCESSING

Numéro de demande/publication: 20 21058655
Date: 2021-04-01

A NEURAL NETWORK MODEL FOR COCHLEAR MECHANICS AND PROCESSING

Numéro de demande/publication: 20 20065893
Date: 2020-06-09

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