An LLM-based ASR error correction framework with noise-adaptive encoding and dynamic multi-modal fusion reports WER gains, but its fusion weights require ground-truth text at inference.
Component fusion: Learning replaceable language model component for end-to-end speech recognition system,
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Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition
An LLM-based ASR error correction framework with noise-adaptive encoding and dynamic multi-modal fusion reports WER gains, but its fusion weights require ground-truth text at inference.