Patents by Inventor Ran Achituv

Ran Achituv 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).

  • Patent number: 11545137
    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.
    Type: Grant
    Filed: August 3, 2020
    Date of Patent: January 3, 2023
    Assignee: VERINT SYSTEMS INC.
    Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
  • Patent number: 11380333
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: July 5, 2022
    Assignee: Verint Systems Inc.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 11367450
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: June 21, 2022
    Assignee: Verint Systems Inc.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20220139399
    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.
    Type: Application
    Filed: January 17, 2022
    Publication date: May 5, 2022
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 11322154
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. At least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcribed customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: May 3, 2022
    Assignee: Verint Systems Inc.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 11227603
    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: January 18, 2022
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10950241
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: March 16, 2021
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10950242
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: March 16, 2021
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10902856
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: January 26, 2021
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20200388272
    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.
    Type: Application
    Filed: August 3, 2020
    Publication date: December 10, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
  • Publication number: 20200312334
    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.
    Type: Application
    Filed: April 14, 2020
    Publication date: October 1, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10733977
    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: August 4, 2020
    Assignee: Verint Systems Ltd.
    Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
  • Patent number: 10720164
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: July 21, 2020
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10692500
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: June 23, 2020
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10692501
    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: June 23, 2020
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Patent number: 10650826
    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: May 12, 2020
    Assignee: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20200111495
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Application
    Filed: December 4, 2019
    Publication date: April 9, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20200105280
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Application
    Filed: December 4, 2019
    Publication date: April 2, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20200105276
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Application
    Filed: December 4, 2019
    Publication date: April 2, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
  • Publication number: 20200105279
    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.
    Type: Application
    Filed: December 4, 2019
    Publication date: April 2, 2020
    Applicant: Verint Systems Ltd.
    Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss