Patents by Inventor Fernando Ezequiel Gonzalez

Fernando Ezequiel Gonzalez 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).

  • Automated ordering system
    Patent number: 11862157
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Grant
    Filed: July 2, 2021
    Date of Patent: January 2, 2024
    Assignee: ConverseNow AI
    Inventors: Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Zubair Talib, Matias Grinberg
  • AUTOMATED ORDERING SYSTEM
    Publication number: 20220270600
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Application
    Filed: July 2, 2021
    Publication date: August 25, 2022
    Inventors: Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Zubair Talib, Matias Grinberg
  • Automated ordering system
    Patent number: 11355120
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Zubair Talib, Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Matias Grinberg
  • Using machine learning to correct the output of an automatic speech recognition system
    Patent number: 11355122
    Abstract: In some examples, a software agent executing on a server an utterance from a customer. The software agent converts the utterance to text. The software agent creates an audio representation of the text and performs a comparison of the audio representation and the utterance. The software agent creates edited text based on the comparison. For example, the software agent may determine, based on the comparison, audio differences between the audio representation and the utterance, create a sequence of edit actions based on the audio differences, and apply the sequence of edit actions to the text to create the edited text. The software agent outputs the edited text as a dialog response to the utterance.
    Type: Grant
    Filed: September 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Fernando Ezequiel Gonzalez, Vinay Kumar Shukla, Rahul Aggarwal, Vrajesh Navinchandra Sejpal, Leonardo Cordoba, Julia Milanese, Zubair Talib, Matias Grinberg