Abstract: A computer-implemented method of processing audio data, the method comprising receiving input audio data (x) comprising a time-series of amplitude values; transforming the input audio data (x) into an input frequency band decomposition (X1) of the input audio data (x); transforming the input frequency band decomposition (X1) into a first latent representation (Z); processing the first latent representation (Z) by a first deep neural network to obtain a second latent representation (Z{circumflex over (?)}, Z1{circumflex over (?)}); transforming the second latent representation (Z{circumflex over (?)}, Z1{circumflex over (?)}) to obtain a discrete approximation (X3{circumflex over (?)}); element-wise multiplying the discrete approximation (X3{circumflex over (?)}) and a residual feature map (R, X5{circumflex over (?)}) to obtain a modified feature map, wherein the residual feature map (R, X5{circumflex over (?)}) is derived from the input frequency band decomposition (X1); processing a pre-shaped frequency band