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Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement

Laroche, Clément et al.
arXiv (All) · Papers
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Deep learning-based speech enhancement is increasingly deployed on-device in hearing aids, headsets, and earbuds. Most of these devices, however, can only accelerate static int8 graphs, so a depth-varying network must be implemented as several graphs, orchestrated by a policy. In this paper, we supe
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