SEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning
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 therefore test whether a model hears SEA speech rather than whether it can reason from it. We in...
| Authors | Harshit Rajgarhia, Asif Shaik, Rachuri Lokesh et al. |
|---|---|
| Primary category | cs.SD |
| Published | 18 September 2026 |
| Last updated at source | 18 September 2026 |
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