Patents by Inventor Edward Page Foyle

Edward Page Foyle 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).

  • MULTI-ASSISTANT NATURAL LANGUAGE INPUT PROCESSING
    Publication number: 20230282206
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.
    Type: Application
    Filed: March 13, 2023
    Publication date: September 7, 2023
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • Multi-assistant natural language input processing
    Patent number: 11636851
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: April 25, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • Multi-assistant natural language input processing to determine a voice model for synthesized speech
    Patent number: 11393477
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input from a device. The NLP system may also receive one or more signals representing one or more assistants to be implemented with respect to the natural language input. The NLP system may intelligently select an assistant to be invoked with respect to the natural language input. Once the assistant is selected, the NLP system may cause content, output to a user, to have characteristics specific to the assistant.
    Type: Grant
    Filed: September 24, 2019
    Date of Patent: July 19, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • MULTI-ASSISTANT NATURAL LANGUAGE INPUT PROCESSING
    Publication number: 20210398525
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.
    Type: Application
    Filed: July 28, 2021
    Publication date: December 23, 2021
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • Multi-assistant natural language input processing
    Patent number: 11120790
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.
    Type: Grant
    Filed: September 24, 2019
    Date of Patent: September 14, 2021
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • MULTI-ASSISTANT NATURAL LANGUAGE INPUT PROCESSING
    Publication number: 20210090575
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant during a dialog between one or more users and the NLP system are described. The NLP system may receive a first natural language input and associate same with a dialog identifier. The NLP system may output audio, responsive to the first natural language input, in a first NLP system assistant's voice. Thereafter, the NLP system may receive a second natural language input and associate same with the dialog identifier. The NLP system may output audio, responsive to the second natural language input, in a second NLP system assistant's voice.
    Type: Application
    Filed: September 24, 2019
    Publication date: March 25, 2021
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • MULTI-ASSISTANT NATURAL LANGUAGE INPUT PROCESSING
    Publication number: 20210090572
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input from a device. The NLP system may also receive one or more signals representing one or more assistants to be implemented with respect to the natural language input. The NLP system may intelligently select an assistant to be invoked with respect to the natural language input. Once the assistant is selected, the NLP system may cause content, output to a user, to have characteristics specific to the assistant.
    Type: Application
    Filed: September 24, 2019
    Publication date: March 25, 2021
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li
  • MULTI-ASSISTANT NATURAL LANGUAGE INPUT PROCESSING
    Publication number: 20210090555
    Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.
    Type: Application
    Filed: September 24, 2019
    Publication date: March 25, 2021
    Inventors: Munir Mahmood, Leopold Bushkin, Alexander Thomas Loeb, Michael Schwartz, Mohammed Arif, Rongzhou Shen, Vikram Kumar Gundeti, Shemyla Anwar, Yaser Khan, Edward Page Foyle, Bo Li