Patents by Inventor Mohammed SOLIMAN

Mohammed SOLIMAN 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).

  • Systems and methods for distinguishing between human speech and machine generated speech
    Patent number: 12579986
    Abstract: Systems, devices, and methods for determining whether a segment of speech was generated by a human or by a machine, such as a robotic voice that is synthesized and used as part of an IVR system. The disclosed approach can be used to assist in implementing a process to automate the detection of the start and end of a hold time during a call to a call center and in response execute a desired action.
    Type: Grant
    Filed: March 12, 2024
    Date of Patent: March 17, 2026
    Assignee: Outbound AI Inc.
    Inventors: Ronen Reouveni, Robert Piro, Jonathan Wiggs, Christina Quinn, Mohammed Soliman
  • Systems and Methods for Distinguishing Between Human Speech and Machine Generated Speech
    Publication number: 20240312466
    Abstract: Systems, devices, and methods for determining whether a segment of speech was generated by a human or by a machine, such as a robotic voice that is synthesized and used as part of an IVR system. The disclosed approach can be used to assist in implementing a process to automate the detection of the start and end of a hold time during a call to a call center and in response execute a desired action.
    Type: Application
    Filed: March 12, 2024
    Publication date: September 19, 2024
    Inventors: Ronen Reouveni, Robert Piro, Jonathan Wiggs, Christina Quinn, Mohammed Soliman
  • DYNAMIC FUNCTIONAL SPLITTING SYSTEMS AND METHODS
    Publication number: 20240179567
    Abstract: A method for determining an optimal functional split for a radio access network (RAN), includes: obtaining network data relating to performance of RAN elements configured with a current functional split; analyzing, by a machine learning model, the obtained network data to determine an optimum functional split, from among a predetermined plurality of functional splits, for optimizing network performance under current network conditions; and outputting the determined optimum functional split for configuring the RAN elements.
    Type: Application
    Filed: May 31, 2022
    Publication date: May 30, 2024
    Applicant: RAKUTEN MOBILE, INC.
    Inventors: Mohammed SOLIMAN, Krishnan VENKATARAGHAVAN