K-means parameter clustering enables data-free training-free pruning of HuBERT and Whisper models with reported WER gains over magnitude pruning on LibriSpeech at 50% and 10% sparsity.
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Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering
K-means parameter clustering enables data-free training-free pruning of HuBERT and Whisper models with reported WER gains over magnitude pruning on LibriSpeech at 50% and 10% sparsity.