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On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Our approach used a teacher-student framework to transfer knowledge from a larger, more complex model to a smaller, light-weight model using dual-view cross-correlation distillation and the teacher's codebook as learning objectives.
Small-footprint slimmable networks for keyword spotting
In this work, we present Slimmable Neural Networks applied to the problem of small-footprint keyword spotting.
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