Patents by Inventor Heiga Zen

Heiga Zen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Sample-efficient adaptive text-to-speech
    Patent number: 11355097
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an adaptive audio-generation model. One of the methods includes generating an adaptive audio-generation model including learning a plurality of embedding vectors and parameter values of a neural network using training data comprising first text and audio data representing a plurality of different individual speakers speaking portions of the first text, wherein the plurality of embedding vectors represent respective voice characteristics of the plurality of different individual speakers.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: June 7, 2022
    Assignee: DeepMind Technologies Limited
    Inventors: Yutian Chen, Scott Ellison Reed, Aaron Gerard Antonius van den Oord, Oriol Vinyals, Heiga Zen, Ioannis Alexandros Assael, Brendan Shillingford, Joao Ferdinando Gomes de Freitas
  • SAMPLE-EFFICIENT ADAPTIVE TEXT-TO-SPEECH
    Publication number: 20210020160
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an adaptive audio-generation model. One of the methods includes generating an adaptive audio-generation model including learning a plurality of embedding vectors and parameter values of a neural network using training data comprising first text and audio data representing a plurality of different individual speakers speaking portions of the first text, wherein the plurality of embedding vectors represent respective voice characteristics of the plurality of different individual speakers.
    Type: Application
    Filed: October 1, 2020
    Publication date: January 21, 2021
    Inventors: Yutian Chen, Scott Ellison Reed, Aaron Gerard Antonius van den Oord, Oriol Vinyals, Heiga Zen, Ioannis Alexandros Assael, Brendan Shillingford, Joao Ferdinando Gomes de Freitas
  • Sample-efficient adaptive text-to-speech
    Patent number: 10810993
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an adaptive audio-generation model. One of the methods includes generating an adaptive audio-generation model including learning a plurality of embedding vectors and parameter values of a neural network using training data comprising first text and audio data representing a plurality of different individual speakers speaking portions of the first text, wherein the plurality of embedding vectors represent respective voice characteristics of the plurality of different individual speakers.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: October 20, 2020
    Assignee: DeepMind Technologies Limited
    Inventors: Yutian Chen, Scott Ellison Reed, Aaron Gerard Antonius van den Oord, Oriol Vinyals, Heiga Zen, Ioannis Alexandros Assael, Brendan Shillingford, Joao Ferdinando Gomes de Freitas
  • SAMPLE-EFFICIENT ADAPTIVE TEXT-TO-SPEECH
    Publication number: 20200135172
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an adaptive audio-generation model. One of the methods includes generating an adaptive audio-generation model including learning a plurality of embedding vectors and parameter values of a neural network using training data comprising first text and audio data representing a plurality of different individual speakers speaking portions of the first text, wherein the plurality of embedding vectors represent respective voice characteristics of the plurality of different individual speakers.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 30, 2020
    Inventors: Yutian Chen, Scott Ellison Reed, Aaron Gerard Antonius van den Oord, Oriol Vinyals, Heiga Zen, Ioannis Alexandros Assael, Brendan Shillingford, Joao Ferdinando Gomes de Freitas