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).
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Publication number: 20240153039Abstract: Systems, methods and non-transitory computer readable media for attributing generated visual content to training examples are provided. A first visual content generated using a generative model may be received. The generative model may be associated with a plurality of training examples. Each training example may be associated with a visual content. Properties of the first visual content may be determined. Each visual content associated with a training example may be analyzed to determine properties of the visual content. The properties of the first visual content and the properties of the visual contents associated with the plurality of training examples may be used to attribute the first visual content to a subgroup of the plurality of training examples. The visual contents associated with the training examples of the subgroup may be associated with a source. A data-record associated with the source may be updated based on the attribution.Type: ApplicationFiled: November 14, 2022Publication date: May 9, 2024Inventors: Yair ADATO, Ran ACHITUV, Eyal GUTFLAISH, Dvir YERUSHALMI
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Publication number: 20240104697Abstract: Systems, methods and non-transitory computer readable media for attributing generated visual content to training examples are provided. A first visual content generated using a generative model may be received. The generative model may be associated with a plurality of training examples. Each training example may be associated with a visual content. Properties of the first visual content may be determined. Each visual content associated with a training example may be analyzed to determine properties of the visual content. The properties of the first visual content and the properties of the visual contents associated with the plurality of training examples may be used to attribute the first visual content to a subgroup of the plurality of training examples. The visual contents associated with the training examples of the subgroup may be associated with a source. A data-record associated with the source may be updated based on the attribution.Type: ApplicationFiled: December 6, 2023Publication date: March 28, 2024Inventors: Yair ADATO, Ran ACHITUV, Eyal GUTFLAISH, Dvir YERUSHALMI
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Publication number: 20240021206Abstract: 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: September 27, 2023Publication date: January 18, 2024Applicant: VERINT SYSTEMS INC.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 11776547Abstract: 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: January 17, 2022Date of Patent: October 3, 2023Assignee: Verint Systems Inc.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20230154153Abstract: Systems, methods and non-transitory computer readable media for identifying visual contents used for training of inference models are provided. A specific visual content may be received. Data based on at least one parameter of an inference model may be received. The inference model may be a result of training a machine learning algorithm using a plurality of training examples. Each training example of the plurality of training examples may include a visual content. The data and the specific visual content may be analyzed to determine a likelihood that the specific visual content is included in at least one training example of the plurality of training examples. A digital signal indicative of the likelihood that the specific visual content is included in at least one training example of the plurality of training examples may be generated.Type: ApplicationFiled: November 14, 2022Publication date: May 18, 2023Inventors: Yair ADATO, Ran ACHITUV, Eyal GUTFLAISH, Dvir YERUSHALMI
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Patent number: 11545137Abstract: 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: GrantFiled: August 3, 2020Date of Patent: January 3, 2023Assignee: VERINT SYSTEMS INC.Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
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Patent number: 11380333Abstract: 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: December 4, 2019Date of Patent: July 5, 2022Assignee: Verint Systems Inc.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 11367450Abstract: 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: December 4, 2019Date of Patent: June 21, 2022Assignee: Verint Systems Inc.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20220139399Abstract: 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: January 17, 2022Publication date: May 5, 2022Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 11322154Abstract: 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: GrantFiled: December 4, 2019Date of Patent: May 3, 2022Assignee: Verint Systems Inc.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 11227603Abstract: 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: April 14, 2020Date of Patent: January 18, 2022Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10950242Abstract: 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: December 4, 2019Date of Patent: March 16, 2021Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10950241Abstract: 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: December 4, 2019Date of Patent: March 16, 2021Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10902856Abstract: 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: December 4, 2019Date of Patent: January 26, 2021Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Publication number: 20200388272Abstract: 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: ApplicationFiled: August 3, 2020Publication date: December 10, 2020Applicant: Verint Systems Ltd.Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
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Publication number: 20200312334Abstract: 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: April 14, 2020Publication date: October 1, 2020Applicant: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10733977Abstract: 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: GrantFiled: March 29, 2017Date of Patent: August 4, 2020Assignee: Verint Systems Ltd.Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
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Patent number: 10720164Abstract: 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: December 4, 2019Date of Patent: July 21, 2020Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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Patent number: 10692500Abstract: 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: September 30, 2019Date of Patent: June 23, 2020Assignee: Verint Systems Ltd.Inventors: Omer Ziv, Ran Achituv, Ido Shapira, Jeremie Dreyfuss
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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