Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC
JournalPublished by European Language Resources Association (ELRA)
8works in our library 1citations of these works 1citations in our library 2026years of the works here
Volumes by year
2020s
Top topics
Speech & spoken language (4)Semitic languages (2)Efficient models & compression (2)Language models & pretraining (1)Low-resource languages (1)Evaluation & benchmarks (1)
Fields
Arts and Humanities (8)Computer Science (8)Psychology (2)Social Sciences (1)
Top authors
🧑🔬Shammur Absar Chowdhury1 work here · 1 citation🧑🔬Caterina Mauri1 work here🧑🔬Claudia Borg1 work here🧑🔬Eneko Agirre1 work here🧑🔬Eva Navas1 work here🧑🔬Fernando López1 work here🧑🔬Hend Al-Khalifa1 work here🧑🔬Jordi Luque1 work here🧑🔬Kengatharaiyer Sarveswaran1 work here🧑🔬Ludovica Pannitto1 work here🧑🔬Martina Simonotti1 work here🧑🔬Md Abdur Razzaq Riyadh1 work here
Top institutions
🎓University of the Basque CountryLeioa ·
Spain1 work here🎓Copenhagen Business SchoolCopenhagen ·
Denmark1 work here🎓University of MaltaMsida ·
Malta1 work here🎓University of JaffnaJaffna ·
Sri Lanka1 work here🎓King Saud UniversityRiyadh ·
Saudi Arabia1 work here🎓Humboldt-Universität zu BerlinBerlin ·
Germany1 work here🎓Hamad bin Khalifa UniversityDoha ·
Qatar1 work here🎓Universidad Autónoma de MadridMadrid ·
Spain1 work here🎓University of BolognaBologna ·
Italy1 work here
Works in our library (8)
- HARNESS: Lightweight Distilled Arabic Speech Foundation ModelsSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECVrunda Nileshkumar Sukhadia, Shammur Absar Chowdhury2026 · 1 citation
- When Does OmniASR Fail? A Fine-Grained Human Evaluation on Saudi Arabic DialectsSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECHend Al-Khalifa2026
- “OK Aura, Be Fair with Me”: Demographics-Agnostic Training for Bias Mitigation in Wake-up Word DetectionSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECFernando López, Paula Delgado-Santos, Pablo Gómez, et al.2026
- Not All Polar Questions Are the Same: ASR, Humans, and RussianSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECMaria Onoeva2026
- SpeechLM for Automatic Speech Recognition in Low-resource LanguagesSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECMd Abdur Razzaq Riyadh, Eneko Agirre, Eva Navas, et al.2026
- Say Again? The Limits of Whisper with Conversation. A Case Study on the KIParla Corpus.Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECMartina Simonotti, Ludovica Pannitto, Caterina Mauri, et al.2026
- Quantizing Whisper: How Design Choices Affect ASR PerformanceSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECArthur Söhler, Julian Irigoyen, Andreas Søeborg Kirkedal2026
- TaLK-Corpus: A Regionally Diverse Evaluation Set for Sri Lankan Tamil SpeechSpeech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LRECAdsajan Thillainathan, Nishanthini Kanthakumar, Nivethiga Rasan, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/venues/speakable/