A trainable comb filter layer extracts harmonic features from raw audio with one parameter per channel, matching convolutional frontends on three audio tasks with orders of magnitude lower cost.
V ocos: Closing the gap between time-domain and fourier- based neural vocoders for high-quality audio synthesis,
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Combolutional Neural Networks
A trainable comb filter layer extracts harmonic features from raw audio with one parameter per channel, matching convolutional frontends on three audio tasks with orders of magnitude lower cost.