نسخة أولية وصول مفتوح
In-Context Adaptation of Encoder-Decoder Models in Speech Recognition
In-context learning offers an appealing approach to adapt automatic speech recognition (ASR) models to new speakers, accents, and domains by providing speech-text pairs as demonstrations at inference time. Recent work shows that some LLM-based speech models are capable of ASR in-context adaptation, when providing inter …