LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR
LLM-HB is proposed, a language-aware large language model-guided hotword biasing framework for code-switching ASR (CS-ASR), which incorporates a mixture-of-experts (MoE) adaptor and an auxiliary language prediction head to better capture and differentiate multilingual representations.
Yuxuan He, Gen-Shun Wan, Peng-Cheng Li et al.
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