Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio decoder generates an audio signal from a bitstream and comprises: a first data provisioner to provide first data having multiple channels; a first processing block to output first output data having multiple channels, and a second processing block. The first processing block comprises: a learnable layer to receive the bitstream and, for the given frame, output target data representing the audio signal in the given frame with multiple channels and multiple samples for the given frame; a conditioning learnable layer to process the target data to obtain conditioning feature parameters for the given frame; and a styling element applying the conditioning feature parameters to the first data. The second processing block combines the channels of the second data to obtain the audio signal.

Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio generator may generate an audio signal from an input signal and target data representing the audio signal. It includes: a first processing block, receiving first data derived from the input signal and outputting first output data; a second processing block, receiving, as second data, the first output data or data derived from the first output data. The first processing block includes: a conditioning set of learnable layers configured to process the target data to obtain conditioning features parameters; and a styling element, configured to apply the conditioning feature parameters to the first data or normalized first data.

Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio generator may generate an audio signal from an input signal and target data representing the audio signal. The target data is derived from text. The audio generator includes: a first processing block, receiving first data derived from the input signal and outputting first output data; a second processing block, receiving, as second data, the first output data or data derived from the first output data. The first processing block includes: a conditioning set of learnable layers configured to process the target data to obtain conditioning features parameters; and a styling element, configured to apply the conditioning feature parameters to the first data or normalized first data.

Abstract: An apparatus for processing a narrowband speech input signal by conducting bandwidth extension of the narrowband speech input signal to obtain a wideband speech output signal according to an embodiment is provided. The apparatus includes a signal envelope extrapolator including a first neural network, wherein the first neural network is configured to receive as input values of the first neural network a plurality of samples of a signal envelope of the narrowband speech input signal, and configured to determine as output values of the first neural network a plurality of extrapolated signal envelope samples. Moreover, the apparatus includes an excitation signal extrapolator configured to receive a plurality of samples of an excitation signal of the narrowband speech input signal, and configured to determine a plurality of extrapolated excitation signal samples.