Patents by Inventor Jeremie Dreyfuss

Jeremie Dreyfuss 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).

  • Publication number: 20220237850
    Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 10, 2022
    Publication date: July 28, 2022
    Applicant: Intel Corporation
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Itamar Ben-Ari, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Michael Behar, Guy Jacob, Gal Leibovich, Jeremie Dreyfuss
  • 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
  • Publication number: 20220122609
    Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.
    Type: Application
    Filed: January 3, 2022
    Publication date: April 21, 2022
    Inventors: Roni Romano, Yair Horesh, Jeremie Dreyfuss
  • Publication number: 20220076118
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: August 17, 2021
    Publication date: March 10, 2022
    Applicant: Intel Corporation
    Inventors: Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Jeremie Dreyfuss, Amit Bleiweiss, Tomer Schwartz, Raanan Yonatan Yehezkel Rohekar, Michael Behar, Amitai Armon, Uzi Sarel
  • Publication number: 20220067496
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: August 10, 2021
    Publication date: March 3, 2022
    Applicant: Intel Corporation
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Amit Bleiweiss, Gal Leibovich, Jeremie Dreyfuss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag
  • Patent number: 11250610
    Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: February 15, 2022
    Assignee: INTEL CORPORATION
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Itamar Ben-Ari, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Michael Behar, Guy Jacob, Gal Leibovich, Jeremie Dreyfuss
  • Patent number: 11238338
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: February 1, 2022
    Assignee: INTEL CORPORATION
    Inventors: Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Jeremie Dreyfuss, Amit Bleiweiss, Tomer Schwartz, Raanan Yonatan Yehezkel Rohekar, Michael Behar, Amital Armon, Uzi Sarel
  • 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
  • Publication number: 20220012163
    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect code defects. An example apparatus includes repository interface circuitry to retrieve code repositories corresponding to a programming language of interest, tree generating circuitry to generate parse trees corresponding to code blocks contained in the code repositories, directed acyclic graph (DAG) circuitry to generate DAGs corresponding to respective ones of the parse trees, the DAGs including control flow information and data flow information, abstraction generating circuitry to abstract the DAGs, invariant identification circuitry to extract invariants from the abstracted DAGs, and DAG comparison circuitry to cluster respective ones of the extracted invariants to identify respective ones of the abstracted DAGs with common invariants.
    Type: Application
    Filed: September 23, 2021
    Publication date: January 13, 2022
    Inventors: Niranjan Hasabnis, Justin Gottschlich, Jeremie Dreyfuss, Amitai Armon, Itamar Ben-Ari, Oren David Kimhi
  • Patent number: 11217252
    Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.
    Type: Grant
    Filed: August 28, 2019
    Date of Patent: January 4, 2022
    Assignee: VERINT SYSTEMS INC.
    Inventors: Roni Romano, Yair Horesh, Jeremie Dreyfuss
  • Publication number: 20210350585
    Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: June 10, 2021
    Publication date: November 11, 2021
    Applicant: INTEL CORPORATION
    Inventors: Tomer Bar-On, Jacob Subag, Yaniv Fais, Jeremie Dreyfuss, Gal Novik, Gal Leibovich, Tomer Schwartz, Ehud Cohen, Lev Faivishevsky, Uzi Sarel, Amitai Armon, Yahav Shadmiy
  • Patent number: 11132601
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: September 28, 2021
    Assignee: INTEL CORPORATION
    Inventors: Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Jeremie Dreyfuss, Amit Bleiweiss, Tomer Schwartz
  • Patent number: 11100393
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: August 24, 2021
    Assignee: INTEL CORPORATION
    Inventors: Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Jeremie Dreyfuss, Amit Bleiweiss, Tomer Schwartz
  • Publication number: 20210256272
    Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 12, 2021
    Publication date: August 19, 2021
    Applicant: Intel Corporation
    Inventors: Jeremie Dreyfuss, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Eran Ben-Avi, Neta Zmora, Tomer Schwartz
  • Patent number: 11093822
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: August 17, 2021
    Assignee: INTEL CORPORATION
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Amit Bleiweiss, Gal Leibovich, Jeremie Dreyfuss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag
  • Patent number: 11037330
    Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 8, 2017
    Date of Patent: June 15, 2021
    Assignee: INTEL CORPORATION
    Inventors: Tomer Bar-On, Jacob Subag, Yaniv Fais, Jeremie Dreyfuss, Gal Novik, Gal Leibovich, Tomer Schwartz, Ehud Cohen, Lev Faivishevsky, Uzi Sarel, Amitai Armon, Yahav Shadmiy
  • Publication number: 20210141604
    Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: November 24, 2020
    Publication date: May 13, 2021
    Applicant: Intel Corporation
    Inventors: Yaniv Fais, Tomer Bar-On, Jacob Subag, Jeremie Dreyfuss, Lev Faivishevsky, Michael Behar, Amit Bleiweiss, Guy Jacob, Gal Leibovich, Itamar Ben-Ari, Galina Ryvchin, Eyal Yaacoby