Connectionists: Call for Papers: The first 2023 IEEE ICASSP Workshop on Advances in Multi-modal Hearing Assistive Technologies (AMHAT)

[Amir Hussain]

Dear all - Please see CFP below and help circulate, many thanks, Amir

*Call for Papers: The first 2023 ICASSP Workshop on Advances in Multi-modal
Hearing Assistive Technologies (AMHAT): https://cogmhear.org/amhat2023/
<https://cogmhear.org/amhat2023/>*

*Update: *ICASSP Workshop paper submissions are now open! *- *AMHAT 2023 is
accepting both* short (2 page) *and* long paper (4 page) submissions *on a
range of topics of interest - see details below and the Workshop website.

*AMHAT Workshop Paper Submission Link: *All accepted AMHAT papers will
appear in* IEEE Xplore. *Please use the *ICASSP 2023 CMT Submission link
below* and select "AMHAT 2023: Advances in Multi-Modal Hearing Assistive
Technology" as the target track.
https://cmt3.research.microsoft.com/ICASSP2023/Submission/Index

*About AMHAT 2023*

Hearing loss affects 1.5 billion people globally and is associated with
poorer health and social outcomes. Recent technological advances have
enabled low-latency, high data-rate wireless solutions for in-ear hearing
assistive devices, which have primarily reformed the current innovation
direction of the hearing industry.

Nevertheless, even sophisticated commercial hearing aids and
cochlear-implant devices are based on audio-only processing, and remain
ineffective in restoring speech intelligibility in overwhelmingly noisy
environments. Human performance in such situations is known to be dependent
upon input from both the aural and visual senses that are then combined by
sophisticated multi-level integration strategies in the brain.

Due to advances in miniaturized sensors and embedded low-power technology,
we now have the potential to monitor not only sound but also many
parameters such as visuals to improve speech intelligibility. Creating
future transformative multimodal hearing assistive technologies that draw
on cognitive principles of normal (visually-assisted) hearing, raises a
range of formidable technical, privacy and usability challenges which need
to be holistically overcome.

The AMHAT Workshop aims to provide an interdisciplinary forum for the wider
speech signal processing, artificial intelligence, wireless sensing and
communications and hearing technology communities to discuss the latest
advances in this emerging field, and stimulate innovative research
directions, including future challenges and opportunities.

*Topics of interest*

The Workshop invites authors to submit short (2-page) and long (4-page)
papers presenting novel research related to all aspects of multi-modal
hearing assistive technologies, including, but not limited to the following:

-Novel explainable and privacy-preserving machine learning and statistical
model-based approaches to multi-modal speech-in-noise processing
-End-to-end real-time, low-latency and energy-efficient audio-visual speech
enhancement and separation methods
-Human auditory-inspired models of multi-modal speech perception and
enhancement
-Internet of things (IoT), 5G/6G and wireless sensing enabled approaches to
multi-modal hearing assistive technologies
-Multi-modal speech enhancement and separation in AR/VR environments
-Innovative binaural and multi-microphone, including MEMS antenna
integration and multi-modal beamforming approaches
-Cloud, Edge and System-on-Chip based software and hardware implementations
-New multi-modal speech intelligibility models for normal and
hearing-impaired listeners
-Audio-visual speech quality and intelligibility assessment and prediction
techniques for multi-modal hearing assistive technologies
-Demonstrators of multi-modal speech-enabled hearing assistive technology
use cases (e.g. multi-modal listening and communication devices)
-Accessibility and human-centric factors in the design and evaluation of
multi-modal hearing assistive technology, including public perceptions,
ethics, standards, societal, economic and political impacts
-Contextual (e.g. user preference and cognitive load-aware) multi-modal
hearing assistive technologies
-Innovative applications of multi-modal hearing assistive technologies
(e.g. diagnostics, therapeutics, human-robot interaction, sign-language
recognition for aided communication)
-Live demonstrators of multi-modal speech-enabled hearing assistive
technology use cases (e.g. multi-modal cochlear implants and listening and
communication devices)
-Accessibility and human-centric factors in the design and evaluation of
multi-modal hearing assistive technology, including public perceptions,
ethics, standards, societal, economic and political impacts

*Important Dates*
Workshop Paper Submission Deadline: 24 February 2023
Workshop Paper Acceptance Notification: 14 April 2023
Workshop Camera Ready Paper Deadline: 28 April 2023

*Paper submission: *

Oral presentations and posters (with or without demonstrations) have equal
status, and authors are encouraged to suggest the presentation format best
suited to communicate their ideas.

Papers should contain a description of ideas and applicable research
results in a minimum of 2 pages (for short papers) and maximum of 4 pages
(for long papers) for technical content including figures and possible
references,  An additional optional 5th page may be included containing
only references.

All AMHAT workshop papers will appear in IEEE Xplore, paper submissions and
the reviewing process will be conducted through the ICASSP-2023 paper
management system (Microsoft CMT) (please ensure to select AMHAT 2023 at
the time of submission, and indicate whether you prefer an oral,
presentation or a poster)
https://cmt3.research.microsoft.com/ICASSP2023/Submission/Index.
*Workshop Chairs*
Amir Hussain, Edinburgh Napier University, UK
Mathini Sellathurai, Heriot-Watt University, UK
Peter Bell, University of Edinburgh, UK
Katherine August, Stevens Institute of Technology, USA

*Steering Committee Chairs*
John Hansen, University of Texas at Dallas, USA
Naomi Harte, Trinity College Dublin, UK
Michael Akeroyd, University of Nottingham, UK
Thank you in advance
---
Professor Amir Hussain
Edinburgh Napier University, Edinburgh EH10 5DT, Scotland, UK
E-mail: a.hussain at napier.ac.uk
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