Full Papers
Submissions for the main track on speech and language technology topics, with standard page limits and blind review.
NLP/CORE Unranked
IEEE SLT 2026
2026 IEEE Spoken Language Technology Workshop Challenge Track
The 2026 IEEE Workshop on Spoken Language Technology (SLT 2026) focuses on advancing spoken language technology for social wellbeing in the digital privacy era. It invites research on speech recognition, spoken language understanding, multimodal processing, large language models, and privacy-preserving voice technologies, with special emphasis on real-world applications and open challenges.
Key deadlines
Verified September 9, 2026Full paper
July 10, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
July 10, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Challenge Track Papers
Submissions for the Grand Challenges, limited to 3 pages of content plus 1 page for references, with single-blind review and no anonymization required.
Challenge Overview Papers
Papers by challenge organizers, limited to 6 pages of content plus 2 pages for references.
Research areas in scope
01
Main Research Topics
Speech recognitionSpoken language understandingMultimodal processingLarge language modelsPrivacy-preserving voice technologies
02
Grand Challenges
Beyond Transcription Challenge (BeTraC): end-to-end audio reasoning for clinical SOAP note generation without intermediate transcriptionLong-form multi-speaker conversation modelingE2E audio models for complex signal reasoningGeneralization from synthetic to real clinical audio
Policies worth checking twice
- Challenge track submissions are single-blind (authors are not required to anonymize identity or webpage links).
- Challenge papers are limited to 3 pages of content plus 1 page for references.
- Challenge overview papers are limited to 6 pages of content plus 2 pages for references.
- BeTraC challenge restricts models to open-weight architectures and prohibits intermediate transcription.
- Lightweight BeTraC track caps model size at 3B parameters and forbids tool use or agentic pipelines.
- Heavyweight BeTraC track allows up to 30B parameters and permits tool use and agentic architectures.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop siteCall For PapersCall for TutorialsImportant DatesAuthors’ InstructionsSLT 2026 Tutorial Template
Last verified September 9, 2026