Patents by Inventor Geoffrey S. Meltzner

Geoffrey S. Meltzner 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).

  • Image-based approaches to identifying the source of audio data
    Patent number: 11062698
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: July 13, 2021
    Assignee: VocaliD, INC.
    Inventors: Rupal Patel, Geoffrey S Meltzner, Markus Toman
  • IMAGE-BASED APPROACHES TO IDENTIFYING THE SOURCE OF AUDIO DATA
    Publication number: 20200184955
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Application
    Filed: October 24, 2019
    Publication date: June 11, 2020
    Applicant: VocaliD, INC.
    Inventors: Rupal PATEL, Geoffrey S. MELTZNER, Markus TOMAN
  • Image-based approaches to classifying audio data
    Patent number: 10504504
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: December 10, 2019
    Assignee: VocaliD, INC.
    Inventors: Geoffrey S Meltzner, Rupal Patel, Markus Toman
  • Method for terrain mapping and personal navigation using mobile gait analysis
    Patent number: 10018469
    Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.
    Type: Grant
    Filed: June 21, 2016
    Date of Patent: July 10, 2018
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Leonid Naimark, Yunbin Deng, Geoffrey S. Meltzner, Yu Zhong
  • METHOD FOR TERRAIN MAPPING AND PERSONAL NAVIGATION USING MOBILE GAIT ANALYSIS
    Publication number: 20170363427
    Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.
    Type: Application
    Filed: June 21, 2016
    Publication date: December 21, 2017
    Inventors: Leonid Naimark, Yunbin Deng, Geoffrey S. Meltzner, Yu Zhong
  • Rotation and pace independent mobile gait analysis
    Patent number: 9824265
    Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.
    Type: Grant
    Filed: June 13, 2016
    Date of Patent: November 21, 2017
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Yu Zhong, Yunbin Deng, Geoffrey S. Meltzner
  • ROTATION AND PACE INDEPENDENT MOBILE GAIT ANALYSIS
    Publication number: 20160307031
    Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.
    Type: Application
    Filed: June 13, 2016
    Publication date: October 20, 2016
    Inventors: Yu Zhong, Yunbin Deng, Geoffrey S. Meltzner