Patent ID: 11915682
Assignee: DEEPMIND TECHNOLOGIES LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A method implemented by one or more processors, the method comprising:
training an autoregressive model for synthesizing speech using a speech synthesis training instance, wherein the speech synthesis training instance includes provided training text and a ground truth audio waveform corresponding to the provided training text, and wherein training the autoregressive model comprises:
at each iteration of a plurality of sequential training iterations of generating samples of a training audio waveform:
generating a respective training difference signal for the iteration using the autoregressive model, wherein the respective training difference signal is a predicted difference based on an amplitude of a respective preceding training sample of the training audio waveform generated in an immediately preceding iteration and an amplitude of a respective training sample for the iteration, wherein an input to the autoregressive model comprises:
a respective representation of at least part of the provided training text,
the respective preceding training sample of the training audio waveform generated in the immediately preceding iteration of the sequential training iterations, and
a respective preceding training difference signal generated in the immediately preceding iteration;

determining the respective training sample for the iteration using the respective training difference signal for the iteration and the respective preceding training sample of the training audio waveform generated in the immediately preceding iteration, the respective training sample for the iteration being one of the samples of the training audio waveform;
determining a difference between the respective training sample for the iteration and a corresponding sample of the ground truth audio waveform; and
updating one or more weights of the autoregressive model based on the determined difference.