Patents by Inventor Javier Gonzalez Hernandez

Javier Gonzalez Hernandez 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).

  • TEXT-TO-SPEECH PROCESSING USING INPUT VOICE CHARACTERISTIC DATA
    Publication number: 20230043916
    Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.
    Type: Application
    Filed: June 24, 2022
    Publication date: February 9, 2023
    Inventors: Roberto Barra Chicote, Vatsal Aggarwal, Andrew Paul Breen, Javier Gonzalez Hernandez, Nishant Prateek
  • Text-to-speech processing using input voice characteristic data
    Patent number: 11373633
    Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: June 28, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Roberto Barra Chicote, Vatsal Aggarwal, Andrew Paul Breen, Javier Gonzalez Hernandez, Nishant Prateek
  • TEXT-TO-SPEECH PROCESSING
    Publication number: 20210097976
    Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 1, 2021
    Inventors: Roberto Barra Chicote, Vatsal Aggarwal, Andrew Paul Breen, Javier Gonzalez Hernandez, Nishant Prateek