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cs.LG2025
Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection
Griffin Dietz Smith, Dianna Yee, Jennifer King Chen +1
Identifying mistakes (i.e., miscues) made while reading aloud is commonly approached post-hoc by comparing automatic speech recognition (ASR) transcriptions to the target reading t…
cs.LG2024
Hypernetworks for Personalizing ASR to Atypical Speech
Max Müller-Eberstein, Dianna Yee, Karren Yang +2
Parameter-efficient fine-tuning (PEFT) for personalizing automatic speech recognition (ASR) has recently shown promise for adapting general population models to atypical speech. Ho…