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Signal processing
Acoustic and articulatory analysis of speech regardless of devices, languages, and recording environments.
IEEE ICASSP 2027 Satellite Workshop
Speech Biomarkers for Neurodegenerative Diseases
Signal Processing, Artificial Intelligence, and Clinical Translation
- Date
- 16-21 May 2027
- Location
- Toronto, Canada
- Proceedings
- IEEE Xplore
SPEECH SIGNALLIVE
Why SBiND
From promising models to meaningful biomarkers
Speech is a non-invasive, scalable, and information-rich signal useful for assessing and longitudinally monitoring neurodegenerative diseases.
SBiND brings together researchers and practitioners from speech and audio processing, artificial intelligence, neurology, clinical neuroscience, biomedical engineering, and digital health. The workshop moves beyond disease detection as an isolated classification task to address the full translational pathway: robustness, interpretability, longitudinal modelling, privacy, reproducibility, and prospective clinical validation.
Discover the scientific scope →Trustworthy AI
Robust, explainable, calibrated, and privacy-aware learning for clinical datasets.
Clinical translation
Longitudinal assessment and clinically grounded validation for tools that can support real-world practice.
Call for papers
Topics of interest
We invite original contributions regarding any advances in speech processing and voice biomarkers useful for the assessment and longitudinal monitoring of neurodegenerative diseases, including Amyotrophic Lateral Sclerosis (ALS), Parkinson’s disease, Alzheimer’s disease, and related neurological disorders.
Workshop topics include (but are not limited to):
Artificial Intelligence models
Acoustic and articulatory features, self-supervised learning, foundation models, transfer learning, and domain adaptation.
Longitudinal assessment
Disease-progression modelling, sparse trajectories, remote monitoring, and clinically meaningful endpoints.
Data-efficient learning
Small, weakly labelled, or heterogeneous datasets; balancing and augmentation.
Robustness & Generalization
Multilingual and multicultural modelling, cross-corpus evaluation, device robustness, fairness, and demographic confounding.
Trustworthy & Reliable
Privacy-preserving and federated learning; expert comparison and annotation reliability.
Multimodal integration
Fusion of speech with clinical, demographic, wearable, imaging, neurophysiological, and other digital measures.
Translation & evaluation
Reproducibility, benchmarking, clinical validation, prospective studies, deployment, and ethical considerations.
Explainability & Interpretability
Explainable and interpretable AI, uncertainty, and understandable AI.
Share your work
Submission guidelines
Workshop papers must follow the ICASSP 2027 paper style, format, and length requirements. Submissions will be peer reviewed using the conference platform and evaluated according to criteria aligned with the main conference.
- Original, unpublished research
- Peer-reviewed technical contributions
- In-person presentation by an author
- Accepted papers published in IEEE Xplore
- Best Paper Award: A Best Paper Award is planned to recognize an outstanding contribution to SBiND, based on scientific significance, originality, and technical quality.
Mark your calendar
Important dates
Paper submission
Workshop paper deadline
Submit by the official ICASSP deadline.
Decision
Acceptance notification
Authors receive the review outcome.
Final version
Camera-ready deadline
Final workshop paper submission.
Toronto, Canada
SBiND workshop
Exact day to be announced.
Deadlines follow the official ICASSP 2027 workshop schedule. Please check the conference website for updates.
Program
A forum for real exchange
The final timetable will be announced after paper decisions. SBiND is designed to combine peer-reviewed research, expert perspectives, and multidisciplinary discussion.
Program coming soonSession times and speakers will be updated here.
Meet the team
Workshop organizers
An interdisciplinary team spanning artificial intelligence, speech and biomedical signal analysis, computer vision, and clinical neurology.
Giovanna Sannino
Senior Researcher · ICAR-CNR
AI, biomedical signal processing & digital healthProfile ↗
Nadia Brancati
Senior Researcher · ICAR-CNR
AI, machine learning & multimodal biomedical dataProfile ↗
Ivanoe De Falco
Research Director · ICAR-CNR
Computational intelligence & interpretable MLProfile ↗
Raffaele Dubbioso
Associate Professor · University of Naples Federico II
Neurology, neurophysiology & clinical biomarkersProfile ↗
Maria Frucci
Associate Researcher · ICAR-CNR
Pattern recognition, deep learning & image analysisProfile ↗
Daniel Riccio
Associate Professor · University of Naples Federico II
Computer vision, pattern recognition & machine learningProfile ↗
Laura Verde
Assistant Professor · University of Campania Luigi Vanvitelli
Biomedical signals, digital health & clinical AIProfile ↗Scientific committee
Technical Program Committee
The Technical Program Committee will bring together international experts in speech processing, artificial intelligence, biomedical engineering, and clinical neuroscience.
Coming soon
TPC members will be announced shortly
The complete list of committee members and affiliations will be published here.
Meet us in Toronto
ICASSP 2027
Join the international signal processing community in Toronto, Canada. ICASSP 2027 takes place from 16 to 21 May 2027 at the Metro Toronto Convention Centre (MTCC), located in Toronto’s downtown core; the precise SBiND workshop date and room will be announced by the conference organizers.
Visit ICASSP conference website ↗Attend SBiND
Registration information
Registration for SBiND will be managed through the official ICASSP 2027 registration system. Rates, registration categories, deadlines, and access instructions have not yet been released by the conference organizers.
We will update this section as soon as the official information becomes available.
Stay connected
Questions about SBiND?
For scientific or organizational inquiries, please contact the workshop organizers.