LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR
The LLM-HB framework enhances Automatic Speech Recognition (ASR) for code-switching speech by combining a Mixture-of-Experts (MoE) adaptor, an auxiliary language prediction head, and LLM-based hotword biasing. This approach dynamically specializes speech representations for different languages and uses targeted prompting to improve recognition accuracy in multilingual scenarios.