The authors shrink a neural spectrogram-inversion network 30x and solve its least-squares phase step in linear time, keeping quality roughly unchanged.
Online Spectrogram Inversion via Gradient Theorem Consider the STFT of a functiony(t)∈L 2(R)w.r.t
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Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem
The authors shrink a neural spectrogram-inversion network 30x and solve its least-squares phase step in linear time, keeping quality roughly unchanged.