OneVoice-MSD: Multilingual and Cross-lingual Transferability for Motor Speech Disorders
Towards "One Voice" in Motor Speech Research
OneVoice-MSD: Multilingual and Cross-lingual Transferability for Motor Speech Disorders
Towards "One Voice" in Motor Speech Research
Advances in speech technologies for motor speech disorders (MSD) have enabled new approaches to clinical assessment, monitoring, and assistive communication. However, these developments have largely focused on high-resource languages, limiting their applicability across diverse linguistic and clinical populations. Although interest in multilingual and cross-lingual approaches is increasing, coordinated efforts that integrate datasets, methodologies, and expertise across languages remain limited.
OneVoice-MSD 2026 aims to address this gap. The session brings together researchers working on multilingual and cross-lingual approaches to MSD, with the goal of fostering collaboration and facilitating the exchange of data, methodologies, and findings. We welcome submissions that contribute to a better understanding and modeling of MSD across languages and populations.
To foster MSD research across languages, this session offers ethically approved, research-only datasets in Spanish, German, and Czech for participants to use in their submissions. The session features two submission tracks: a Focused Track, for studies utilizing these shared datasets, and an Exploratory Track, for research employing other public or private corpora relevant to motor speech disorders. Authors of Focused Track papers may be invited to join a panel discussion, where they can present methodological advances and key findings in cross-language modeling.
Topics of interest include, but are not limited to:
Multilingual/Cross-lingual analysis of acoustic, articulatory, and linguistic markers of MSD
Dataset harmonization across languages and clinical cohorts
Automatic speech recognition or acoustic modeling
Severity estimation and progression monitoring
Multimodal integration of speech, language, and clinical metadata
The Special Session follows the same guidelines as the SLT 2026 main conference.
Paper Submission Due: June 17, 2026
Paper Revision Due: June 24, 2026
Rebuttal Period: July 29 - August 4, 2026
Camera-ready Due: September 16, 2026
Paper Notification: September 1, 2026
Paula A. Pérez-Toro
Friedrich-Alexander-Universität Erlangen-Nürnberg
Eunjung Yeo
University of Texas
at Austin
Zhengjun Yue
Shenzhen Loop Area Institute
Kwanghee Choi
University of Texas
at Austin
Rohan Kumar Das
Fortemedia
David R. Mortensen
Carnegie Mellon University
Juan Rafael Orozoco-Arroyave
Universidad de Antioquia
Mathew Magimai Doss
Idiap Research Institute
Elmar Nöth
Friedrich-Alexander-Universität Erlangen-Nürnberg
Jan Rusz
Czech Technical University in Prague
Abner Hernandez (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Chin-Jou Li (Carnegie Mellon University, USA)
Tomas Arias-Vergara (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Christian Tejedor-Garcia (Radbound University, Netherlands)
Cristian Rios-Urrego (University de Antioquia, Colombia)
Daniel Escober-Grisales (University de Antioquia, Colombia)
Giulia Sanguedolce (Imperial College London, UK)
Julie Liss (Arizona State University, USA)
Jun Wang (University of Texas at Austin, USA)
Karen Rosero (Carnegie Mellon University, USA)
Korbinian Riedhammer (Technische Hochscule Nürnberg, Germany)
Philipp Aichinger (MedUni Vienna, Austria)
Shekhar Nayak (University of Groningen, Netherlands)
Vikram Ramanarayanan (Modality.AI, USA)