Benchmarking Automatic Speech Recognition Tools for Iberian Languages

arXiv:2609.36920 · cs.CL · Submitted 2026-09-29 · Read on arXiv

cs.CL

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/ferugit/iberian-asr-bench

Terminology

• Benchmark — 15× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Benchmarking — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• MLS: A Large-Scale Multilingual Dataset for Speech Research
• Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
• Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
• WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem
• Quantifying Bias in Automatic Speech Recognition
• Ministral 3
• Voxtral
• Voxtral Realtime
• Canary-1B-v2 & Parakeet-TDT-0.6B-v3: Efficient and High-Performance Models for Multilingual ASR and AST
• Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
• Qwen3-ASR Technical Report

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