Patents by Inventor Cristina Garbacea

Cristina Garbacea 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).

  • Speech coding using content latent embedding vectors and speaker latent embedding vectors
    Patent number: 11756561
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating discrete latent representations of input audio data. Only the discrete latent representation needs to be transmitted from an encoder system to a decoder system in order for the decoder system to be able to effectively to decode, i.e., reconstruct, the input audio data.
    Type: Grant
    Filed: February 17, 2022
    Date of Patent: September 12, 2023
    Assignee: DeepMind Technologies Limited
    Inventors: Cristina Garbacea, Aaron Gerard Antonius van den Oord, Yazhe Li, Sze Chie Lim, Alejandro Luebs, Oriol Vinyals, Thomas Chadwick Walters
  • SPEECH CODING USING CONTENT LATENT EMBEDDING VECTORS AND SPEAKER LATENT EMBEDDING VECTORS
    Publication number: 20220319527
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating discrete latent representations of input audio data. Only the discrete latent representation needs to be transmitted from an encoder system to a decoder system in order for the decoder system to be able to effectively to decode, i.e., reconstruct, the input audio data.
    Type: Application
    Filed: February 17, 2022
    Publication date: October 6, 2022
    Inventors: Cristina Garbacea, Aaron Gerard Antonius van den Oord, Yazhe Li, Sze Chie Lim, Alejandro Luebs, Oriol Vinyals, Thomas Chadwick Walters
  • Speech coding using content latent embedding vectors and speaker latent embedding vectors
    Patent number: 11257507
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating discrete latent representations of input audio data. Only the discrete latent representation needs to be transmitted from an encoder system to a decoder system in order for the decoder system to be able to effectively to decode, i.e., reconstruct, the input audio data.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: February 22, 2022
    Assignee: DeepMind Technologies Limited
    Inventors: Cristina Garbacea, Aaron Gerard Antonius van den Oord, Yazhe Li, Sze Chie Lim, Alejandro Luebs, Oriol Vinyals, Thomas Chadwick Walters
  • SPEECH CODING USING DISCRETE LATENT REPRESENTATIONS
    Publication number: 20200234725
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating discrete latent representations of input audio data. Only the discrete latent representation needs to be transmitted from an encoder system to a decoder system in order for the decoder system to be able to effectively to decode, i.e., reconstruct, the input audio data.
    Type: Application
    Filed: January 17, 2020
    Publication date: July 23, 2020
    Inventors: Cristina Garbacea, Aaron Gerard Antonius van den Oord, Yazhe Li, Sze Chie Lim, Alejandro Luebs, Oriol Vinyals, Thomas Chadwick Walters