36.3708, Confs: Workshop at LREC 2026: Speakable - Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (Spain)

[The LINGUIST List]

LINGUIST List: Vol-36-3708. Tue Dec 02 2025. ISSN: 1069 - 4875.

Subject: 36.3708, Confs: Workshop at LREC 2026: Speakable - Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (Spain)

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Date: 01-Dec-2025
From: Dr. Sandipana Dowerah [sandipana.dowerah at taltech.ee]
Subject: Workshop at LREC 2026: Speakable - Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis


Workshop at LREC 2026: Speakable - Speech Language Models in
Low-Resource Settings: Performance, Evaluation, and Bias Analysis

Date: 13-May-2026 - 15-May-2026
Location: Mallorca, Spain
Contact: Speakable Organisers
Contact Email: speakable2026 at gmail.com

Linguistic Field(s): Computational Linguistics

We are pleased to announce the upcoming full-day SPEAKABLE Workshop on
Speech Language Models in Low-Resource Settings: Performance,
Evaluation, and Bias Analysis, co-located with LREC 2026. This
workshop brings together researchers, practitioners, and industry
experts working to advance speech technology for under-resourced
languages. We invite contributions that address the unique challenges
and opportunities in this space.
Workshop Topics of Interest: We encourage submissions on (but not
limited to):
 - Performance of speech language models in low-resource and
underrepresented languages
 - Evaluation methodologies and creation of benchmarks
 - Bias analysis, detection, and mitigation strategies in speech
technologies
 - Real-world applications, deployment challenges, and case studies
 - Speech recognition, speech-to-text, language modeling, multilingual
and cross-lingual approaches
 - Fairness, ethical considerations, and inclusive NLP for
low-resource speech communities
Call for Papers Opening Soon
The Call for Papers will open in two weeks. We welcome original
research, position papers, and ongoing work relevant to speech and
language modeling for low-resource settings.
Learn more and submit: https://speakable-2026.github.io/



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