公开(公告)号：US12288547B2

公开(公告)日：2025-04-29

申请号：US17339834

申请日：2021-06-04

Applicant: DeepMind Technologies Limited

Inventor： Jeffrey Donahue ,  Karen Simonyan ,  Sander Etienne Lea Dieleman ,  Mikolaj Binkowski ,  Erich Konrad Elsen

IPC: G10L13/047 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a generative neural network to convert conditioning text inputs to audio outputs. The generative neural network includes an alignment neural network that is configured to receive a generative input that includes the conditioning text input and to process the generative input to generate an aligned conditioning sequence that comprises a respective feature representation at each of a plurality of first time steps and that is temporally aligned with the audio output.

公开(公告)号：US20210383789A1

公开(公告)日：2021-12-09

申请号：US17339834

申请日：2021-06-04

Applicant: DeepMind Technologies Limited

Inventor： Jeffrey Donahue ,  Karen Simonyan ,  Sander Etienne Lea Dieleman ,  Mikolaj Binkowski ,  Erich Konrad Elsen

IPC: G10L13/047 ,  G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a generative neural network to convert conditioning text inputs to audio outputs. The generative neural network includes an alignment neural network that is configured to receive a generative input that includes the conditioning text input and to process the generative input to generate an aligned conditioning sequence that comprises a respective feature representation at each of a plurality of first time steps and that is temporally aligned with the audio output.

公开(公告)号：US20240412042A1

公开(公告)日：2024-12-12

申请号：US18698260

申请日：2022-10-06

Applicant: DeepMind Technologies Limited

Inventor： Nikolay Savinov ,  Junyoung Chung ,  Mikolaj Binkowski ,  Aaron Gerard Antonius van den Oord ,  Erich Konrad Elsen

IPC: G06N3/0455 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating output sequences using a non-auto-regressive neural network.

公开(公告)号：US20210089909A1

公开(公告)日：2021-03-25

申请号：US17032578

申请日：2020-09-25

Applicant: DeepMind Technologies Limited

Inventor： Mikolaj Binkowski ,  Karen Simonyan ,  Jeffrey Donahue ,  Aidan Clark ,  Sander Etienne Lea Dieleman ,  Erich Konrad Elsen ,  Luis Carlos Cobo Rus ,  Norman Casagrande

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating output audio examples using a generative neural network. One of the methods includes obtaining a training conditioning text input; processing a training generative input comprising the training conditioning text input using a feedforward generative neural network to generate a training audio output; processing the training audio output using each of a plurality of discriminators, wherein the plurality of discriminators comprises one or more conditional discriminators and one or more unconditional discriminators; determining a first combined prediction by combining the respective predictions of the plurality of discriminators; and determining an update to current values of a plurality of generative parameters of the feedforward generative neural network to increase a first error in the first combined prediction.