P1-1: Monaghan et al
Detecting hearing loss from children’s speech using machine learning

P1-2: Ooster et al
Hearing test using smart speakers: Speech audiometry with Alexa

P1-3: Lenatti et al
Evaluation of multivariate classification algorithms for hearing loss detection through a speech-in-noise test

P1-4: Herrmann et al
Model-based selection of most informative diagnostic tests and test parameters

P1-5: Liepollo et al
Examining the association of standard threshold shifts for occupational hearing loss among miners exposed to noise and platinum mine dust at a large-scale platinum mine in South Africa

P1-6: Tsimpida et al
Prevalence statistics of hearing loss in adults: Harnessing spatial big data to estimate patterns and trends

P2-1: Plain et al
A classification approach to listening effort: combining features from the pupil and cardiovascular system

P2-2: Beckers et al
Assessing listening effort, using EEG and pupillometry, in response to adverse listening conditions and memory load

P2-3: Hoogestrat & Illiger et al
Automatic detection of human activities from accelerometer sensors integrated in hearables

P2-4: Knoetze et al
Sound-level monitoring earphones with smartphone feedback as an intervention to promote healthy listening behaviors in young adults

P2-5: Migliorini et al
How variation in cochlear implant performance relates to differences in MAP parameters

P2-6: Picinali et al
Designing the BEARS (Both Ears) virtual reality training suite for improving spatial hearing abilities in teenage bilateral cochlear implantees

P3-1: Brochier et al
Comparing phonemic information transmission with cochlear implants between human listeners and an end-to-end computational model of speech perception

P3-2: Saddler et al
Hearing-impaired artificial neural networks replicate speech recognition deficits of hearing-impaired humans

P3-3: Huelsmeier et al
Estimating the distortion component of hearing impairment from attenuation-based model predictions using machine learning

P3-4: Rossbach et al
Binaural prediction of speech intelligibility based on a blind model using automatic phoneme recognition

P3-5: Keshavarzi et al
Use of a deep recurrent neural network to reduce transient noise: Effects on subjective speech intelligibility and comfort

P4-1: Beukes et al
Outcomes and experiences of delivering an internet-based intervention for tinnitus during the COVID-19 pandemic

P4-2: Cardon et al
A data-driven decision tree for diagnosing somatosensory tinnitus

P4-3: Revel et al
What can we learn about tinnitus from social media posts?

P4-4: Erinc et al
Behavioral and electrophysiological evaluation of loudness growth in clinically normal hearing tinnitus patients with and without hyperacusis

P4-5: Stylou et al
Systematic monitoring of Meniere’s disease: A smartphone-based approach for the periodical assessment of audiometric measures and fluctuating symptoms

P5-1: Holmes et al
Using active inference to model selective attention during cocktail party listening

P5-2: Keshavarzi et al
Cortical tracking of a distractor speaker modulates the comprehension of a target speaker

P5-3: Kegler et al
Correlates of linguistic processing in the frequency following response to naturalistic speech

P5-4: Zhang et al
The effect of selective loss of auditory nerve fibers on temporal envelope processing: a simulation study

P5-5: Grant et al
Functional hearing and communication deficits (FHCD) in blast-exposed service members with normal to near-normal hearing thresholds

P5-6: Ratnanather et al
Visualization of speech perception errors through phoneme alignment

P6-1: Carney et al
“Ear in the Clouds”– A web app supporting computational models for auditory-nerve and midbrain responses

P6-2: Fan et al
Predicting fusion of dichotic vowels in normal hearing listeners with a physiologically-based model

P6-3: Kipping et al
A computational single-fiber model of electric-acoustic stimulation

P6-4: Mitchell et al
A computational model of fast spectrotemporal chirp sensitivity in the inferior colliculus

P6-5: Yayli et al
Modeling the effects of inhibition and gap junctions on synchrony enhancement in bushy cells of the ventral cochlear nucleus

P6-6: Leong et al
Modeling formant-frequency discrimination based on auditory-nerve and midbrain responses: normal hearing and sensorineural hearing loss