Merging multiple fine-tuned Whisper models reduces word error rate on dysarthric speech by 12-16% relative to standard fine-tuning, with gains on long audio and low-data settings.
Whisper-at: Noise-robust automatic speech recognizers are also strong general audio event taggers,
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Robust fine-tuning of speech recognition models via model merging: application to disordered speech
Merging multiple fine-tuned Whisper models reduces word error rate on dysarthric speech by 12-16% relative to standard fine-tuning, with gains on long audio and low-data settings.