Patents by Inventor Roi Pomerantz

Roi Pomerantz 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).

  • Robust direct speech-to-speech translation
    Patent number: 11960852
    Abstract: A direct speech-to-speech translation (S2ST) model includes an encoder configured to receive an input speech representation that to an utterance spoken by a source speaker in a first language and encode the input speech representation into a hidden feature representation. The S2ST model also includes an attention module configured to generate a context vector that attends to the hidden representation encoded by the encoder. The S2ST model also includes a decoder configured to receive the context vector generated by the attention module and predict a phoneme representation that corresponds to a translation of the utterance in a second different language. The S2ST model also includes a synthesizer configured to receive the context vector and the phoneme representation and generate a translated synthesized speech representation that corresponds to a translation of the utterance spoken in the different second language.
    Type: Grant
    Filed: December 15, 2021
    Date of Patent: April 16, 2024
    Assignee: Google LLC
    Inventors: Ye Jia, Michelle Tadmor Ramanovich, Tal Remez, Roi Pomerantz
  • Robust Direct Speech-to-Speech Translation
    Publication number: 20230013777
    Abstract: A direct speech-to-speech translation (S2ST) model includes an encoder configured to receive an input speech representation that to an utterance spoken by a source speaker in a first language and encode the input speech representation into a hidden feature representation. The S2ST model also includes an attention module configured to generate a context vector that attends to the hidden representation encoded by the encoder. The S2ST model also includes a decoder configured to receive the context vector generated by the attention module and predict a phoneme representation that corresponds to a translation of the utterance in a second different language. The S2ST model also includes a synthesizer configured to receive the context vector and the phoneme representation and generate a translated synthesized speech representation that corresponds to a translation of the utterance spoken in the different second language.
    Type: Application
    Filed: December 15, 2021
    Publication date: January 19, 2023
    Applicant: Google LLC
    Inventors: Ye Jia, Michelle Tadmor Ramanovich, Tal Remez, Roi Pomerantz