Connectionists: Call for papers: 2023 IEEE ICASSP Workshop on AMHAT: Extended Deadline 19 March (for short (2-page) and long (4-page) papers)

[Amir Hussain]

Dear  all:  ** please help circulate - thank you in advance **​

Call for Papers: The first 2023 IEEE ICASSP Workshop on Advances in Multi-modal Hearing Assistive Technologies (AMHAT): https://cogmhear.org/amhat2023/ - Deadline Extended to 19 March 2023

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.

Paper Submission Link is available on the AMHAT website. All accepted AMHAT 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 submit via the paper submission link on the AMHAT website and indicate whether you prefer an oral or poster presentation at the time of submission  <https://cogmhear.org/amhat2023/>

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: Extended to 19 March 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) (Paper submissions and the reviewing process will be conducted through the ICASSP-2023 paper management system (Microsoft CMT) - please submit directly via the paper submission link on the AMHAT website and indicate whether you prefer an oral or poster presentation:  https://cogmhear.org/amhat2023/ )

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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