Fine-tuning Whisper-Tiny on Japanese audio with LoRA or end-to-end training improves CER from 32.7% to 20.8% or 14.7%, beating Whisper-Base's 20.2% on this test setup.
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech, 2022
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Efficient Adaptation of Multilingual Models for Japanese ASR
Fine-tuning Whisper-Tiny on Japanese audio with LoRA or end-to-end training improves CER from 32.7% to 20.8% or 14.7%, beating Whisper-Base's 20.2% on this test setup.