Method for training a neural network and a data processing device

A computer-implemented method for training a neural network by using a data processing device, wherein the neural network is configured to provide, during inference, processed audio data based on audio input data, the method comprising:

• inputting pairs of target audio data sets and distorted audio data sets to the neural network from the data processing device;
• providing values of user preference settings from the data processing device;
• associating the provided values of the user preference settings to the pairs of target and distorted audio data sets;
• training the neural network by a combination of the pairs of the target audio data and the distorted audio data in combination with the provided values of the user preference settings,
• wherein the training includes inputting the distorted audio data and the provided values of the user preference settings to the neural network, and
• forming a training loop by inputting into a loss function used for training the neural network the values of the user preference settings, the target audio data, and processed audio data output from the neural network, the neural network corresponding to a communication device, to output loss data that is input to the trained neural network.