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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
#natural language process... Preprint Sep 2026

Xiaomi-CocktailASR-1 Technical Report

Recently, large language model (LLM) based ASR models have achieved significant progress, yet they generally lack support for multi-speaker scenarios, where the cocktail party problem remains a critical bottleneck for further advancing ASR. Existing TS-ASR methods, including end-to-end architectures with speaker embedd...

Yi-Ru Zhang, Hang Su, Li-Chun Fan et al. · 1 citation

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