From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs
arXiv:2603.24034v1 Announce Type: cross
Abstract: Contextual automatic speech recognition (ASR) with Speech-LLMs is typically trained with oracle conversation history, but relies on error-prone history at inference, causing a train-test mismatch in th…