Patents by Inventor OMRY NETZER

OMRY NETZER 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).

  • AUTOMATIC SPEECH RECOGNITION
    Publication number: 20220013120
    Abstract: A method of speech recognition, sequentially executed by a processor on consecutive speech segments that comprises: obtaining digital information, which is a spectrogram representation, of a speech segment, and extracting from it speech features that characterizes the segment from the spectrogram representation. Then, a consistent structure segment vector based on the speech features is determined onto which machine learning is deployed to determine at least one label of the segment vector. A method of voice recognition and image recognition sequentially executed by a processor, on consecutive voice segments is also described. A system for executing speech, voice, and image recognition is also provided that comprises client devices to obtain and display information, a segment vector generator to determine a consistent structure segment vector based on features, and a machine learning server to determine at least one label of the segment vector.
    Type: Application
    Filed: September 13, 2021
    Publication date: January 13, 2022
    Applicant: VoicEncode Ltd.
    Inventor: Omry NETZER
  • Automatic speech recognition
    Patent number: 11120793
    Abstract: It is depicts a method of speech recognition, sequentially executed by a processor on consecutive speech segments that comprises: obtaining digital information, which is a spectrogram representation, of a speech segment, and extracting from it speech features that characterizes the segment from the spectrogram representation. Then, a consistent structure segment vector based on the speech features is determined onto which machine learning is deployed to determine at least one label of the segment vector. A method of voice recognition and image recognition sequentially executed by a processor, on consecutive voice segments is also described. A system for executing speech, voice, and image recognition is also provided that comprises client devices to obtain and display information, a segment vector generator to determine a consistent structure segment vector based on features, and a machine learning server to determine at least one label of the segment vector.
    Type: Grant
    Filed: June 11, 2017
    Date of Patent: September 14, 2021
    Assignee: VoicEncode Ltd.
    Inventor: Omry Netzer
  • AUTOMATIC SPEECH RECOGNITION
    Publication number: 20190371320
    Abstract: It is depicts a method of speech recognition, sequentially executed by a processor on consecutive speech segments that comprises: obtaining digital information, which is a spectrogram representation, of a speech segment, and extracting from it speech features that characterizes the segment from the spectrogram representation. Then, a consistent structure segment vector based on the speech features is determined onto which machine learning is deployed to determine at least one label of the segment vector. A method of voice recognition and image recognition sequentially executed by a processor, on consecutive voice segments is also described. A system for executing speech, voice, and image recognition is also provided that comprises client devices to obtain and display information, a segment vector generator to determine a consistent structure segment vector based on features, and a machine learning server to determine at least one label of the segment vector.
    Type: Application
    Filed: June 11, 2017
    Publication date: December 5, 2019
    Inventor: OMRY NETZER