2020 CHAIN Workshop on Connected Hearing and Artificial Intelligence

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Attending and Program:

The workshop will be held online and can be attended for free.
If interested, please contact Benjamin Cauchi to receive the link to the workshop (benjamin.cauchi@offis.de).

The workshop will be held in the morning of Monday November 30th.
The program is as follows (times are local German times):

10h15: Welcome
10h30: Digital Service Innovations in the Field of Tele-Audiology (Prof. Dr. Carsten Schultz)
11h00: Estimating fundamental frequency and formants based on periodicity glimpses: a deep learning approach (Paper, Joanna Luberadzka)
11h30: Employees’ Acceptance of Health Care Service Innovations: A Study in the Field of Tele-audiology (Paper, Marie Lüngen)
12h00: Real-Time Acoustic Scene Classification for Hearing Aids (Demo, Kamil Adiloglu)
12h30: Free Discussion
13h00: End

Call for Papers

The CHAIN Workshop aims at bringing together technical professionals, i.e., engineers and researchers, and service providers, e.g., acousticians, in order to explore the vast possibilities that big data and artificial intelligence can provide to both hearing aids users and professionals of the hearing aids industry. The CHAIN Workshop is an interdisciplinary workshop and aims at addressing not only how big data and artificial intelligence can improve hearing aids technology but as well how such improvements would be perceived by actors of the sector and what type of business models could be developed on this basis.

The workshop is part of the 8th IEEE International Conference on Healthcare Informatics (ICHI, http://ichi2020.de) that has been postponed due to the current situation and will be held in Oldenburg, Germany, between the 30th of November and 3rd of December 2020.


We invite submission of original, unpublished papers on topics including but not limited to:

  • Innovative services in the hearing aids industry
  • Artificial intelligence for personalized services
  • Artificial intelligence to support hearing aids professionals
  • Big data for audiological applications
  • Artificial intelligence for binaural processing
  • Computational auditory scenes analysis
  • Modelling of binaural perception

Papers should not exceed 5 pages, with the fifth page containing only references. Papers should be submitted as PDF prepared using the IEEE template available here: https://www.ieee.org/conferences/publishing/templates.html

The papers should be submitted using EasyChair before September 4th, 2020 using the following link:
https://easychair.org/conferences/?conf=chain2020. Accepted papers will be included in the proceedings of the IEEE ICHI Conference.

Important dates

  • Deadline for paper submission: September 4th, 2020
  • Notification of paper acceptance: October 2nd, 2020
  • Submission of camera-ready paper: October 16th, 2020


Benjamin Cauchi

OFFIS Institute for Information Technology
Division Health

Escherweg 2
26121 Oldenburg


Marie Lüngen

Christian-Albrechts-University at Kiel
Department for Technology Management

Olshausenstraße 40
24098 Kiel