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SEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning

arXiv · AI, language, vision and robotics · article · Sep 18, 2026 · UTC

Modern audio-language models are no longer judged only on what words they can transcribe, but on whether they can reason over what they hear: recovering meaning that lives in tone and prosody, telling dialects and regional languages apart, and resolving ambiguity that the written form leaves open. This capability is now measured by a growing family of audio-reasoning benchmarks, but almost entirely in English and on general-domain audio. Southeast Asia (SEA) is served instead by benchmarks that inherit an English task taxonomy of recognition, translation, and paralinguistic classification, and

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Evidence & attribution

First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.