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arXiv AI July 15, 2026 By Shuming Fang, Shuifei Zeng

An Omnilingual-ASR-Based Speech-LLM System for the 2nd MLC-SLM Challenge

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arXiv:2607. 12468v1 Announce Type: cross Abstract: We describe our submission to Task 1 of the 2nd MLCSLM Challenge: a cascaded diarization-then-recognition system that combines DiariZen-Large-s80 (WavLM-Large) segmentation, CAM++ embedding-based two-speaker clustering, and a LoRA-adapted omniASR LLM 7B v2 recognizer, with no oracle segmentation or speaker labels at test time.

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