Patents by Inventor Ido Shapira
Ido Shapira 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).
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Patent number: 10692501Abstract: 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: GrantFiled: October 7, 2019Date of Patent: June 23, 2020Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10650826Abstract: 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: GrantFiled: October 7, 2019Date of Patent: May 12, 2020Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200111495Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 9, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105279Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105277Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105280Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105275Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105278Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200105276Abstract: 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: ApplicationFiled: December 4, 2019Publication date: April 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10593332Abstract: Systems and methods 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: GrantFiled: September 11, 2019Date of Patent: March 17, 2020Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200043501Abstract: 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: ApplicationFiled: October 7, 2019Publication date: February 6, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200035246Abstract: 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: ApplicationFiled: October 7, 2019Publication date: January 30, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200035245Abstract: 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: ApplicationFiled: September 30, 2019Publication date: January 30, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200005796Abstract: Systems and methods 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: ApplicationFiled: September 11, 2019Publication date: January 2, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10522152Abstract: 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: GrantFiled: October 25, 2018Date of Patent: December 31, 2019Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10522153Abstract: 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: GrantFiled: October 25, 2018Date of Patent: December 31, 2019Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10446156Abstract: 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: GrantFiled: October 25, 2018Date of Patent: October 15, 2019Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10438592Abstract: 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: GrantFiled: October 25, 2018Date of Patent: October 8, 2019Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10366693Abstract: Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.Type: GrantFiled: January 22, 2018Date of Patent: July 30, 2019Assignee: Verint Systems LTD.Inventors: Alex Gorodetski, Ido Shapira, Ron Wein, Oana Sidi
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Publication number: 20190066690Abstract: 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: ApplicationFiled: October 25, 2018Publication date: February 28, 2019Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss