Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks
Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks
We propose the multi-head convolutional neural network (MCNN) architecture for waveform synthesis from spectrograms. Nonlinear interpolation in MCNN is employed with transposed convolution layers in parallel heads. MCNN achieves more than an order of magnitude higher compute intensity than commonly-used iterative algorithms like Griffin-Lim, yielding efficient utilization for modern multi-core …