Patents by Inventor Kavita SUNDAR

Kavita SUNDAR 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).

  • Method and system for user voice identification using ensembled deep learning algorithms
    Patent number: 11929078
    Abstract: Certain embodiments of the present disclosure provide techniques training a user detection model to identify a user of a software application based on voice recognition. The method generally includes receiving a data set including a plurality of voice interactions with users of a software application. For each respective recording in the data set, a spectrogram representation is generated based on the respective recording. A plurality of voice recognition models are trained. Each of the plurality of voice recognition models is trained based on the spectrogram representation for each of the plurality of voice recordings in the data set. The plurality of voice recognition models are deployed to an interactive voice response system.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: March 12, 2024
    Assignee: Intuit, Inc.
    Inventors: Shanshan Tuo, Divya Beeram, Meng Chen, Neo Yuchen, Wan Yu Zhang, Nivethitha Kumar, Kavita Sundar, Tomer Tal
  • METHOD AND SYSTEM FOR USER VOICE IDENTIFICATION USING ENSEMBLED DEEP LEARNING ALGORITHMS
    Publication number: 20220270611
    Abstract: Certain embodiments of the present disclosure provide techniques training a user detection model to identify a user of a software application based on voice recognition. The method generally includes receiving a data set including a plurality of voice interactions with users of a software application. For each respective recording in the data set, a spectrogram representation is generated based on the respective recording. A plurality of voice recognition models are trained. Each of the plurality of voice recognition models is trained based on the spectrogram representation for each of the plurality of voice recordings in the data set. The plurality of voice recognition models are deployed to an interactive voice response system.
    Type: Application
    Filed: February 23, 2021
    Publication date: August 25, 2022
    Inventors: Shanshan TUO, Divya BEERAM, Meng CHEN, Neo YUCHEN, Wan Yu ZHANG, Nivethitha KUMAR, Kavita SUNDAR, Tomer TAL