Author

Li-Chun Fan

h-index 2 View on Semantic Scholar

We have 3 of 15 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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

Preprint Aug 2026

MiDashengLM-Gen: Unified Audio Scene Generation via LLM-Driven Autoregressive Flow Matching

MiDashengLM-Gen is an end-to-end framework that couples a pre-trained Large Language Model (LLM) with per-token conditional flow matching for autoregressive, variable-length mixed-audio scene generation and drastically improves speech intelligibility over existing unified models.

Xingwei Sun, Heinrich Dinkel, Gang Li et al. · 0 citations