modulation.classification.seperation.audio_unet

Created on 29/03/2020

Classes

UNetConvBlock(in_channels, out_channels, ...)	description
UNetDeconvBlock(in_channels, out_channels, ...)	description
UNet(conv_channels_list, kernel_size, ...)	UNet for source separation from https://ejhumphrey.com/assets/pdf/jansson2017singing.pdf :param conv_channels_list: List of number of channels in convolutional blocks :param spec_transform: Spectrogram transform with proper parameters from core.transforms :param inv_spec_transform: InverseSpectrogram transform with proper parameters from core.transforms :param optimizer_lr: Learning rate for Adam optimizer