Unsupervised k-means clusters of SSL features and i-vectors identify speaker-relevant feed-forward neurons; protecting them during pruning preserves speaker identification.
Large-scale self-supervised speech representation learning for automatic speaker verification
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Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers
Unsupervised k-means clusters of SSL features and i-vectors identify speaker-relevant feed-forward neurons; protecting them during pruning preserves speaker identification.