A custom convolutional speech enhancement network with a learned gating module skips individual channels at runtime, saving up to 29.6% of MACs on VoiceBank+DEMAND with a negligible PESQ drop.
4, we relate the denoising performances and computational efficiency of the Conv-FSENet static baselines with their DynCP counterparts
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Scalable Speech Enhancement with Dynamic Channel Pruning
A custom convolutional speech enhancement network with a learned gating module skips individual channels at runtime, saving up to 29.6% of MACs on VoiceBank+DEMAND with a negligible PESQ drop.