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Preprint Aug 2026

CoSTALA: Compositional Spatio-Temporal Audio-Language Alignment via Multi-Grain Hierarchical Contrastive Learning

Conventional audio language models (ALMs) have made significant progress in achieving alignment between auditory and textual representations, including recent explorations in spatial audio. However, in daily spatial scenarios, they still cannot effectively process multi-event audio sequences. Current approaches primari...

Peiwei Ren, Jin-Bo Hu, Fang Kang et al. · 1 citation
Preprint Oct 2026

MiDashengLM-Spatial: Unifying General Audio Understanding and Spatial Awareness

Large audio-language models (LALMs) have achieved strong performance in general audio understanding, yet most are designed for monaural input and discard the inter-channel cues essential for spatial perception. In contrast, existing spatial audio-language models are purpose-built for spatial tasks and fail to capitaliz...

Jin-Bo Hu, Hang Su, Li-Chun Fan et al. · 0 citations

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