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Fast Speech Foundation Model Distillation Using Interleaved Stacking

Eungbeom Kim, Kyogu Lee
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arXiv:2606.11766v1 Announce Type: cross Abstract: Distilling a large speech foundation model (SFM) into an efficient student model has been successfully applied to low-resource environments. Although distillation reduces inference latency, it requires an additional student model training. However, the training efficiency of SFM distillation...

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