INTRO & KICK-OFF

ZoomRoom A
Chair: Tobias Goehring

Introduction to VCCA, schedule and rules

In this playlist you find all the pre-recorded VCCA2021 talks in order of appearance. Below we embedded the keynotes and featured talks

8:00 (London), 9:00 (Amsterdam), 17:00 (Sydney), 3:00 (New York)

10 MIN

MAIN SESSION 1

ZoomRoom A
Chair: Tobias Goehring

8:10 (London), 9:10 (Amsterdam), 17:10 (Sydney), 3:10 (New York)

50 MIN

KEYNOTE 1: Prof Brian CJ Moore
Time-efficient hearing tests and their use in the fitting of hearing aids
30 min

FEATURED 1: Dr Maartje Hendrikse
Virtual audiovisual environments for hearing aid evaluation (and fitting)
20 min

SWITCH-OVER BREAK >>> Join Parallel session 15 min

PARALLEL SESSION 1 & 2

9:15 (London), 10:15 (Amsterdam), 18:15 (Sydney), 4:15 (New York)

90 MIN

ZoomRoom A
Chair P1: Karina de Sousa

ZoomRoom B
Chair P2: Joaquin Valderrama-Valenzuela

P1 & P2 (click to unfold schedule)

P1: Hearing loss detection, monitoring & prevalence

P2:Listening effort, behaviour & intervention

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: Ntlhakana 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

SWITCH-OVER BREAK >>> Join Main session 15 min

SPECIAL SESSION 1:

GLOBAL BURDEN OF HEARING LOSS

ZoomRoom A
Chair: Jan-Willem Wasmann

Discussion on devices (D1): Chair Alan Archer-Boyd
Discussion on services (D2): Chair Saima Rajasingam

11:00 (London), 12:00 (Amsterdam), 20:00 (Sydney), 6:00 (New York)

60 MIN

KEYNOTE 2: Prof Nick Lesica
Harnessing the power of AI to combat the global burden of hearing loss: opportunities and challenges
30 min

DISCUSSION 1 (Break-out room):

Hearing devices of the future

30 min
Overcoming barriers of stigma, logistics, costs and efficacy

DISCUSSION 2 (Break-out room):

Hearing services of the future

30 min
Ensuring wide and equitable access to hearing healthcare

LUNCH-BREAK /// Relax & Chat in Main session 60 min

12:00 (London), 13:00 (Amsterdam), 21:00 (Sydney), 07:00 (New York)

SPECIAL SESSION 2:

BIG DATA & DATA-DRIVEN ANALYSES

ZoomRoom A
Chair: Prof Waldo Nogueira

13:00 (London), 14:00 (Amsterdam), 22:00 (Sydney), 08:00 (New York)

120 MIN

Introduction by Prof Waldo Nogueira

FEATURED 2: Dr Raul Sanchez-Lopez
Hearing deficits and auditory profiling: data-driven approaches towards personalized audiology
20 min

FEATURED 3: Dr Niels Pontoppidan
Learning from audiological data collected in the lab and the real world
20 min

EXPERT PANEL TALKS (10 min each):

T1: We have lots of data – now what? Dr Rob Eikelboom

T2: The HiGHmed approach for FAIR use of clinical and research data with openEHR – Focusing on interoperability – Sarah Nee and Prof Michael Marschollek
T3: Towards Smarter and Connected Hearing Implant Care – Dr Filiep Vanpoucke
T4: Twenty-five years of clinical data collection: from a single site relational database towards multi-site interoperability – Dr Eugen Kludt
T5: Big Data and the Apple Hearing Study – Prof Rick Neitzel
PANEL DISCUSSION
30 min

COFFEE BREAK >>> Join Main session 30 min

MAIN SESSION 2

ZoomRoom A
Chair: Tobias Goehring

15:30 (London), 16:30 (Amsterdam), 0:30 (Sydney), 10:30 (New York)

50 MIN

KEYNOTE 3: Prof Josh McDermott New models of human hearing via deep learning 30 min

FEATURED 4: Dr Josef Schlittenlacher Machine learning for models of auditory perception 20 min

BREAK >>> Join Parallel session 10 min

PARALLEL SESSION 2

16:30 (London), 17:30 (Amsterdam), 1:30 (Sydney), 11:30 (New York)

75 MIN

ZoomRoom A
Chair P3: Francois Guerit

ZoomRoom B
Chair P4: Marina Salorio-Corbetto

P3 & P4 (click to unfold schedule)

P3: Deep learning applications and models

P4: Interventions and diagnosis of tinnitus

P3-1: Huelsmeier et al

Estimating the distortion component of hearing impairment from attenuation-based model predictions using machine learning

P3-2: Brochier et al

Comparing phonemic information transmission with cochlear implants between human listeners and an end-to-end computational model of speech perception

P3-3: Saddler et al

Hearing-impaired artificial neural networks replicate speech recognition deficits of hearing-impaired humans

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

DINNER-BREAK /// Relax & chat >>> Join Main session 45 min

17:45 (London), 18:45 (Amsterdam), 2:45 (Sydney), 12:45 (New York)

MAIN SESSION 3

ZoomRoom A
Chair: Alexander J Billig

18:30 (London), 19:30 (Amsterdam), 3:30 (Sydney), 13:30 (New York)

50 MIN

KEYNOTE 4: Prof Mounya Elhilali Auditory salience 30 min

FEATURED 5: Dr Simone Graetzer Clarity: machine learning challenges for improving hearing aid processing of speech in noise 20 min

SWITCH-OVER BREAK >>> Join Parallel session 10 min

PARALLEL SESSION 3

19:30 (London), 20:30 (Amsterdam), 4:30 (Sydney), 14:30 (New York)

90 MIN

ZoomRoom A
Chair P5: Alexander J Billig

ZoomRoom B
Chair P6: Gerard Encina-Llamas

P5 & P6 (click to unfold schedule)

P5: Auditory attention and processes

P6: Computational auditory modelling

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

AWARDS & WRAP UP

21:00 (London), 22:00 (Amsterdam), 6:00 (Sydney), 16:00 (New York)

15 MIN

London Time:

We would like to take advantage of the virtual aspects of this conference by creating sessions that consist of a mixture of different talk and discussion formats.

'The interconnectedness of (artificial) neurons makes neural networks possible. The interconnectedness of hearing researchers and clinicians makes computational audiology possible''

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The Virtual Conference on Computational Audiology is sponsored by:

The Virtual Conference on Computational Audiology is hosted and/or supported by: