ESCUCHA benchmark launched for Spanish speech understanding in LALMs

Researchers have introduced ESCUCHA, a new benchmark designed to evaluate large audio language models (LALMs) specifically for the Spanish language. This benchmark addresses a gap in evaluating LALMs under realistic, heterogeneous acoustic conditions and includes a wide range of Spanish accents and non-standard speech. ESCUCHA features 1,000 human-curated questions with audio totaling over 160 hours, emphasizing reasoning abilities across various categories and including complex audio formats like multi-audio questions and spoken instructions. Initial benchmarking of state-of-the-art models indicates a significant performance gap compared to human capabilities. AI

IMPACT This benchmark will enable more robust evaluation of large audio language models for Spanish, potentially driving improvements in multilingual AI capabilities.

RANK_REASON The item describes a new academic benchmark for evaluating AI models, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• ESCUCHA
• Fernando López
• Gotit.pub
• Hugging Face
• large audio language models
• ScienceCast
• Spanish

• paper
• other

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