Patents by Inventor Lihi Ahuva SHILOH PERL

Lihi Ahuva SHILOH PERL 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).

  • Audio event detection with window-based prediction
    Patent number: 11948599
    Abstract: A computing system for a plurality of classes of audio events is provided, including one or more processors configured to divide a run-time audio signal into a plurality of segments and process each segment of the run-time audio signal in a time domain to generate a normalized time domain representation of each segment. The processor is further configured to feed the normalized time domain representation of each segment to an input layer of a trained neural network. The processor is further configured to generate, by the neural network, a plurality of predicted classification scores and associated probabilities for each class of audio event contained in each segment of the run-time input audio signal. In post-processing, the processor is further configured to generate smoothed predicted classification scores, associated smoothed probabilities, and class window confidence values for each class for each of a plurality of candidate window sizes.
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: April 2, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Lihi Ahuva Shiloh Perl, Ben Fishman, Gilad Pundak, Yonit Hoffman
  • AUDIO EVENT DETECTION WITH WINDOW-BASED PREDICTION
    Publication number: 20230215460
    Abstract: A computing system for a plurality of classes of audio events is provided, including one or more processors configured to divide a run-time audio signal into a plurality of segments and process each segment of the run-time audio signal in a time domain to generate a normalized time domain representation of each segment. The processor is further configured to feed the normalized time domain representation of each segment to an input layer of a trained neural network. The processor is further configured to generate, by the neural network, a plurality of predicted classification scores and associated probabilities for each class of audio event contained in each segment of the run-time input audio signal. In post-processing, the processor is further configured to generate smoothed predicted classification scores, associated smoothed probabilities, and class window confidence values for each class for each of a plurality of candidate window sizes.
    Type: Application
    Filed: January 6, 2022
    Publication date: July 6, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Lihi Ahuva SHILOH PERL, Ben FISHMAN, Gilad PUNDAK, Yonit HOFFMAN