Haolong Zheng

TICL: TEXT-EMBEDDING KNN FOR SPEECH IN-CONTEXT LEARNING UNLOCKS SPEECH RECOGNITION ABILITIES OF LARGE MULTIMODAL MODELS

Speech foundation models have recently demonstrated the ability to perform Speech In-Context Learning (SICL). Selecting effective in-context examples is crucial for SICL performance, yet selection methodologies remain underexplored. In this work, we propose Text-Embedding KNN for SICL (TICL), a simp…