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Preprint Sep 2026

Multimodal Conversational Context for LLM-Based ASR: Data Construction, Training, and Benchmark

Conversational context provides semantic and acoustic cues across turns for automatic speech recognition (ASR), but relying on historical transcripts can propagate recognition errors and discard pronunciation and speaker information. We present a multimodal conversational-context framework for LLM-based ASR that integr...

Long-Hao Li, Jian Tang, Yu-Xiang Kong et al. · 0 citations
#natural language process... Preprint Sep 2026

Qwen-Audio-3.0-ASR Technical Report

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integration with large language models (LLMs). However, bridging the gap between academic benchmark performance and real-world production utility r...

Chuan-Meng Bian, Da-Ren Chen, Pei-Xin Chen et al. · 2 citations

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