papersSEP 10 04:00 UTC
SEA-SpeechBench: New benchmark for speech understanding across Southeast Asian languages
Researchers have introduced SEA-SpeechBench, a large-scale multitask benchmark for evaluating how well speech and multimodal language models handle Southeast Asian languages. The paper argues that existing evaluation frameworks for audio-capable models focus heavily on English, leaving the region's languages poorly covered. The benchmark aims to enable broader assessment of speech understanding performance across the area's many languages.