Research Explorer

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Project

Speech Encoding in Impaired Hearing

Outputs and Outcomes

Publications

Otoacoustic emissions in a deep-neural-network model of cochlear mechanics

Arthur Van Den BrouckeFotios DrakopoulosDeepak BabySarah Verhulst

The role of hidden hearing loss in tinnitus : insights from early markers of peripheral hearing damage

Pauline DevolderHannah KepplerSarineh KeshishzadehBaziel TaghonIngeborg DhoogeSarah Verhulst

A1 Journal Article in HEARING RESEARCH

A DNN-based hearing-aid strategy for real-time processing : one size fits all

Fotios DrakopoulosArthur Van Den BrouckeSarah Verhulst

Supra-threshold envelope-following responses in the ageing population : an early marker of sensorineural hearing damage

Sarah VerhulstHeleen Van Der BiestSarineh KeshishzadehHannah KepplerIngeborg Dhooge

Machine-learning-based audio algorithms for hearing loss compensation

Marjoleen WoutersFotios DrakopoulosSarah Verhulst

Individual variability in early markers of sensorineural hearing loss with age and ototoxicity

Heleen Van Der BiestSarineh KeshishzadehHannah KepplerIngeborg DhoogeSarah Verhulst

A neural-network framework for the design of individualised hearing-loss compensation

Fotios DrakopoulosSarah Verhulst

A1 Journal Article in IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

Envelope following responses for hearing diagnosis : robustness and methodological considerations

Heleen Van Der BiestSarineh KeshishzadehHannah KepplerIngeborg DhoogeSarah Verhulst

A1 Journal Article in JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Designing novel psychophysical and electrophysiological markers of cochlear synaptopathy based on temporal fine structure coding fidelity

Emmanuel PonsotPauline DevolderIngeborg DhoogeSarah Verhulst

Towards objective markers of speech understanding based on neural coding and perception of spectrotemporal sound features

Pauline DevolderEmmanuel PonsotIngeborg DhoogeSarah Verhulst

Machine-learning-based audio algorithms for cochlear synaptopathy compensation : which speech features are enhanced?

Marjoleen WoutersFotios DrakopoulosSarah Verhulst

A comparative study of eight human auditory models of monaural processing

Alejandro Osses VecchiLeo VarnetLaurel H. CarneyTorsten DauIan C. BruceSarah VerhulstPiotr Majdak

A1 Journal Article in ACTA ACUSTICA

Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies

Fotios DrakopoulosViacheslav VasilkovAlejandro Osses VecchiTijmen WartenbergSarah Verhulst

A1 Journal Article in HEARING RESEARCH

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

Brad N. BuranGarnett P. McMillanSarineh KeshishzadehSarah VerhulstNaomi F. Bramhall

A1 Journal Article in JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

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

Marjoleen WoutersFotios DrakopoulosSarah Verhulst

A differentiable optimisation framework for the design of individualised DNN-based hearing-aid strategies

Fotios DrakopoulosSarah Verhulst

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

Sarah VerhulstSarineh KeshishzadehHannah KepplerIngeborg Dhooge

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

Sarah VerhulstFotios DrakopoulosArthur Van Den BrouckeDeepak Baby

Individualized cochlear models based on distortion product otoacoustic emissions

Sarineh KeshishzadehSarah Verhulst

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

Tine Vande MaeleSarineh KeshishzadehNele De PoortereIngeborg DhoogeHannah KepplerSarah Verhulst

A1 Journal Article in JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH

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

Fotios DrakopoulosDeepak BabySarah Verhulst

A1 Journal Article in COMMUNICATIONS BIOLOGY

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

Anita M. MepaniSarah VerhulstKenneth E. HancockMarkus GarrettViacheslav VasilkovKara BennettVictor de GruttolaM. Charles LibermanStéphane F. Maison

A1 Journal Article in JOURNAL OF NEUROPHYSIOLOGY

Towards personalized auditory models : predicting individual sensorineural hearing-loss profiles from recorded human auditory physiology

Sarineh KeshishzadehMarkus GarrettSarah Verhulst

A1 Journal Article in TRENDS IN HEARING

Acquired hearing deficits

Sarah VerhulstMarkus Garrett

Bookchapter in The senses : a comprehensive reference

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

Viacheslav VasilkovMarkus GarrettManfred MauermannSarah Verhulst

A1 Journal Article in HEARING RESEARCH

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

Deepak BabyArthur Van Den BrouckeSarah Verhulst

A1 Journal Article in NATURE MACHINE INTELLIGENCE

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

Arthur Van Den BrouckeFotios DrakopoulosDeepak BabySarah Verhulst

Individual differences in temporal fine-structure detection across younger and older listeners : disentangling sources of sensorinerual hearing loss using a model-based approach

Alejandro Osses VecchiMarkus GarrettSarah Verhulst

Hearing-impaired bio-inspired cochlear models for real-time auditory applications

Arthur Van Den BrouckeDeepak BabySarah Verhulst

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

Sarineh KeshishzadehMarkus GarrettViacheslav VasilkovSarah Verhulst

A1 Journal Article in HEARING RESEARCH

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

Sarineh KeshishzadehSarah Verhulst

Acquisition of subcortical auditory potentials with around-the-Ear cEEGrid technology in normal and hearing impaired listeners

Markus GarrettStefan DebenerSarah Verhulst

A1 Journal Article in FRONTIERS IN NEUROSCIENCE

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

Sarineh KeshishzadehViacheslav VasilkovSarah Verhulst

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

Fotios DrakopoulosDeepak BabySarah Verhulst

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

Alejandro Osses VecchiFrauke ErnstSarah Verhulst

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

Naomi BramhallElizabeth Francis BeachBastian EppColleen G. Le PrellEnrique A. Lopez-PovedaChristopher J. PlackRoland SchaetteSarah VerhulstBarbara Canlon

A1 Journal Article in HEARING RESEARCH

SERGAN : speech enhancement using relativistic generative adversarial networks with gradient penalty

Deepak BabySarah Verhulst

Suprathreshold psychoacoustics and envelope-following response relations : normal-hearing, synaptopathy and cochlear gain loss

Sarah VerhulstFrauke ErnstMarkus GarrettViacheslav Vasilkov

A1 Journal Article in ACTA ACUSTICA UNITED WITH ACUSTICA

Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems

Deepak BabySarah Verhulst

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

Sarah VerhulstAlessandro AltoèViacheslav Vasilkov

A1 Journal Article in HEARING RESEARCH