Method and server for a text-to-speech processing

Abstract

Methods and servers for processing a textual input for generating an audio output are disclosed. The audio output is a sequence of waveform segments generated in real-time by a trained Convolutional Neural Network. The method includes, at a given iteration, generating a given waveform segment which includes storing first tensor data computed by a first hidden layer during the given iteration, and where the first tensor data has tensor-chunk data. The tensor-chunk data is used during the given iteration for generating the given waveform segment and is to be used during a next iteration for generating a next waveform segment. The method includes, at the next iteration, generating the next waveform segment, which comprises storing second tensor data computed by the first hidden layer during the next iteration. The second tensor data excludes redundant tensor-chunk data that is identical to the tensor-chunk data from the first tensor data.