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Whisper-small

model1 events
papersTODAY 04:00 UTC

One-shot pruning found to act as implicit regularizer for speech recognition models

A study argues that one-shot magnitude pruning does more than compress neural networks, acting as an implicit regularizer for automatic speech recognition. Testing with Whisper-small, the authors combine gradient- and Fisher-based sensitivity measures to guide which weights to remove. The work reframes pruning as a training technique rather than only a efficiency tool.

pruning/speech-recognition/whisper/research