Patents Examined by Martin Lerner
  • Patent number: 12288035
    Abstract: The present disclosure provides an electronic apparatus, which conducts learning based on sensitive information or specialized tasks for the self-stored artificial intelligence model, while using an artificial intelligence model stored in an external electronic device, and uses internal and external artificial intelligence models complementarily to each other through this to provide appropriate answers and task results.
    Type: Grant
    Filed: May 7, 2024
    Date of Patent: April 29, 2025
    Assignee: Persona AI Co., Ltd.
    Inventor: Seungjae Yoo
  • Patent number: 12277391
    Abstract: There is provided a method that includes obtaining (a) a dense representation of external features, (b) a dense representation of text, and (c) a mask that associates the external features to tokens of the text, and employing a cross-attention process that utilizes the mask to perform an information fusion of the dense representation of the external features and the tokens of the text, thus yielding a joint representation of the external features and the tokens of the text. There is also provided a system that executes the method, and a storage device that includes instructions for controlling a processor to perform the method.
    Type: Grant
    Filed: June 10, 2022
    Date of Patent: April 15, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jean-Michel Attendu, Alexandre Jules Dos Santos, François Duplessis Beaulieu
  • Patent number: 12254887
    Abstract: Systems and processes for operating an intelligent automated assistant to provide extension of digital assistant services are provided. An example method includes, at an electronic device having one or more processors, receiving, from a first user, a first speech input representing a user request. The method further includes obtaining an identity of the first user; and in accordance with the user identity, providing a representation of the user request to at least one of a second electronic device or a third electronic device. The method further includes receiving, based on a determination of whether the second electronic device or the third electronic device, or both, is to provide the response to the first electronic device, the response to the user request from the second electronic device or the third electronic device. The method further includes providing a representation of the response to the first user.
    Type: Grant
    Filed: December 6, 2021
    Date of Patent: March 18, 2025
    Assignee: Apple Inc.
    Inventors: Yoon Kim, Charles Srisuwananukorn, David A. Carson, Thomas R. Gruber, Justin G. Binder
  • Patent number: 12242807
    Abstract: Described herein are technologies related to tokenizing alphanumeric text through use of a tokenization algorithm that is at least partially implemented as a finite state machine. The tokenization algorithm is configured to output numeric identifiers that represent tokens or sub-tokens in the alphanumeric text.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: March 4, 2025
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Siarhei Alonichau, Junaid Ahmed
  • Patent number: 12236964
    Abstract: A system and method for enhancing or restoring audio data utilizing an artificial intelligence module, and more particularly utilizing deep neural networks and generative adversarial networks. The system and method are both able to train the artificial intelligence module to provide for different format and other characteristic-specific transforms for determining how to restore audio to source quality and even beyond. The present invention includes the steps of acquiring source data, pre-processing the source data, implementing the artificial intelligence module, indexing the data, applying transforms, and optimizing the data for a particular audio modality.
    Type: Grant
    Filed: July 29, 2024
    Date of Patent: February 25, 2025
    Assignee: Seer Global, Inc.
    Inventor: Andrew Denis
  • Patent number: 12236957
    Abstract: Systems and methods for presence ground truth approximation and utilization are disclosed. For example, a system detects the presence of a predefined subject, such as a person associated with a given user profile, and/or determines that authentication criteria for performing an action in association with the user profile has been satisfied. A period of time to associate data is determined, and data of one or more data types is labeled as being associated with the speaker identification event. That data may be formatted and input into one or more models to train those models to more accurately detect presence and/or determine whether authentication of a user profile should succeed.
    Type: Grant
    Filed: September 1, 2022
    Date of Patent: February 25, 2025
    Assignee: Amazon Technologies, Inc.
    Inventors: Lizhen Peng, Alok Upadhyay, Jason Cline, Ankur Gandhe
  • Patent number: 12230285
    Abstract: An audio encoder for encoding segments of coefficients, the segments of coefficients representing different time or frequency resolutions of a sampled audio signal, the audio encoder including a processor for deriving a coding context for a currently encoded coefficient of a current segment based on a previously encoded coefficient of a previous segment, the previously encoded coefficient representing a different time or frequency resolution than the currently encoded coefficient. The audio encoder further includes an entropy encoder for encoding entropy the current coefficient based on the coding context to obtain an encoded audio stream.
    Type: Grant
    Filed: April 5, 2024
    Date of Patent: February 18, 2025
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Markus Multrus, Bernhard Grill, Guillaume Fuchs, Stefan Geyersberger, Nikolaus Rettelbach, Virgilio Bacigalupo
  • Patent number: 12217763
    Abstract: A transient detector analyzes a given frame n of the input audio signal to determine, based on audio signal characteristics of the given frame n, a transient hangover indicator for a following frame n+1, and signals the determined transient hangover indicator to an associated audio encoder to enable proper encoding of the following frame n+1.
    Type: Grant
    Filed: October 17, 2023
    Date of Patent: February 4, 2025
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Anisse Taleb, Gustaf Ullberg
  • Patent number: 12217838
    Abstract: There are provided a method and an apparatus for distributing physical examination information, an electronic device, a computer-readable storage medium, and a computer program product. The method includes: obtaining physical examination information and information of a plurality of distribution objects; inputting the physical examination information and the information of the plurality of distribution objects into an information matching model obtained by pre-training to obtain a matching degree between the physical examination information and the plurality of distribution objects; and determining a target distribution object from the plurality of distribution objects according to the matching degree between the physical examination information and each of the plurality of distribution objects, and distributing the physical examination information to the target distribution object.
    Type: Grant
    Filed: December 25, 2020
    Date of Patent: February 4, 2025
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventor: Zhenzhong Zhang
  • Patent number: 12210847
    Abstract: A sentence generation device has: an estimation unit for receiving input of a first sentence and a focus point related to generation of a second sentence to be generated based on the first sentence, and estimating importance of each word constituting the first sentence using a pre-trained model; and a generation unit for generating the second sentence based on the importance, and thus makes it possible to evaluate importance of a constituent element of an input sentence in correspondence with a designated focus point.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: January 28, 2025
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Itsumi Saito, Kyosuke Nishida, Atsushi Otsuka, Kosuke Nishida, Hisako Asano, Junji Tomita
  • Patent number: 12205603
    Abstract: An audio encoder for encoding segments of coefficients, the segments of coefficients representing different time or frequency resolutions of a sampled audio signal, the audio encoder including a processor for deriving a coding context for a currently encoded coefficient of a current segment based on a previously encoded coefficient of a previous segment, the previously encoded coefficient representing a different time or frequency resolution than the currently encoded coefficient. The audio encoder further includes an entropy encoder for entropy encoding the current coefficient based on the coding context to obtain an encoded audio stream.
    Type: Grant
    Filed: April 5, 2024
    Date of Patent: January 21, 2025
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Markus Multrus, Bernhard Grill, Guillaume Fuchs, Stefan Geyersberger, Nikolaus Rettelbach, Virgilio Bacigalupo
  • Patent number: 12198686
    Abstract: A sound crosstalk suppression device includes: a speaker analysis unit configured to analyze a speaker situation in a closed space based on voice signals respectively collected by a plurality of microphones arranged in the closed space; a filter update unit that includes a filter configured to generate a suppression signal of a crosstalk component included in a voice signal of a main speaker, that is configured to update a parameter of the filter, and that is configured to store the updated parameter in a memory; a reset unit configured to reset the parameter of the filter in a case where it is determined that an analysis result of the speaker situation is switched; and a crosstalk suppression unit configured to suppress a crosstalk component by using a suppression signal.
    Type: Grant
    Filed: November 16, 2020
    Date of Patent: January 14, 2025
    Assignee: Panasonic Intellectual Property Management Co., Ltd.
    Inventors: Masanari Miyamoto, Shinichi Yuzuriha
  • Patent number: 12198708
    Abstract: An audio encoder for encoding segments of coefficients, the segments of coefficients representing different time or frequency resolutions of a sampled audio signal, the audio encoder including a processor for deriving a coding context for a currently encoded coefficient of a current segment based on a previously encoded coefficient of a previous segment, the previously encoded coefficient representing a different time or frequency resolution than the currently encoded coefficient. The audio encoder further includes an entropy encoder for entropy encoding the current coefficient based on the coding context to obtain an encoded audio stream.
    Type: Grant
    Filed: April 5, 2024
    Date of Patent: January 14, 2025
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Markus Multrus, Bernhard Grill, Guillaume Fuchs, Stefan Geyersberger, Nikolaus Rettelbach, Virgilio Bacigalupo
  • Patent number: 12198707
    Abstract: An audio encoder for encoding segments of coefficients, the segments of coefficients representing different time or frequency resolutions of a sampled audio signal, the audio encoder including a processor for deriving a coding context for a currently encoded coefficient of a current segment based on a previously encoded coefficient of a previous segment, the previously encoded coefficient representing a different time or frequency resolution than the currently encoded coefficient. The audio encoder further includes an entropy encoder for entropy encoding the current coefficient based on the coding context to obtain an encoded audio stream.
    Type: Grant
    Filed: April 5, 2024
    Date of Patent: January 14, 2025
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Markus Multrus, Bernhard Grill, Guillaume Fuchs, Stefan Geyersberger, Nikolaus Rettelbach, Virgilio Bacigalupo
  • Patent number: 12190064
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.
    Type: Grant
    Filed: June 30, 2023
    Date of Patent: January 7, 2025
    Assignee: GOOGLE LLC
    Inventors: Sebastian Millius, Sandro Feuz
  • Patent number: 12190062
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a hybrid reason code prediction machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform natural language processing using a hybrid reason code prediction machine learning framework that comprises one or more of the following: (i) a hierarchical transformer machine learning model, (ii) an utterance prediction machine learning model, (iii) an attention distribution generation machine learning model, (iv) an utterance-code pair prediction machine learning model, and (v) a hybrid prediction machine learning model.
    Type: Grant
    Filed: April 28, 2022
    Date of Patent: January 7, 2025
    Assignee: Optum, Inc.
    Inventors: Suman Roy, Thomas G. Sullivan, Vijay Varma Malladi, Matthew J. Stewart, Abraham Gebru Tesfay, Gaurav Ranjan
  • Patent number: 12182525
    Abstract: Methods, apparatus, and processor-readable storage media for automatically generating context-based alternative text using artificial intelligence techniques are provided herein. An example computer-implemented method includes generating text captions for an image derived from a web page by processing the image using an artificial intelligence-based image captioning model; determining context information pertaining to the image by processing the image using an artificial intelligence-based context and emotion recognition library; generating context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the generated text caption(s) for the image and the determined context information pertaining to at least a portion of the image; and performing one or more automated actions based on the generated context-based alternative text.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: December 31, 2024
    Assignee: Dell Products L.P.
    Inventors: Shary Beshara, Amy Seibel, Kranti Uppala, Eric Bruno
  • Patent number: 12153890
    Abstract: A method and system for generating anomaly-detection rules for communication protocols are provided. The method includes receiving communication data; constructing at least one N-gram from the received communication data; analyzing the at least one N-gram by comparing the constructed at least one N-gram with a repository of N-gram analyses to identify conditional probabilities of certain characteristics; and generating anomaly-detection rules based on the N-gram analysis.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: November 26, 2024
    Assignee: Intuit Inc.
    Inventors: Keren Cohavi, Liora Braunstin, Kiril Lashchiver, Yoav Spector
  • Patent number: 12148438
    Abstract: An encoding apparatus and a decoding apparatus in a transform between a Modified Discrete Cosine Transform (MDCT)-based coder and a different coder are provided. The encoding apparatus may encode additional information to restore an input signal encoded according to the MDCT-based coding scheme, when switching occurs between the MDCT-based coder and the different coder. Accordingly, an unnecessary bitstream may be prevented from being generated, and minimum additional information may be encoded.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: November 19, 2024
    Assignees: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, KWANGWOON UNIVERSITY INDUSTRY-ACADEMIC COLLABORATION FOUNDATION
    Inventors: Seung Kwon Beack, Tae Jin Lee, Min Je Kim, Dae Young Jang, Kyeongok Kang, Jin Woo Hong, Ho Chong Park, Young-cheol Park
  • Patent number: 12142277
    Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
    Type: Grant
    Filed: January 8, 2024
    Date of Patent: November 12, 2024
    Assignee: GOOGLE LLC
    Inventors: Michael Fink, Vladimir Vuskovic, Shimon Or Salant, Deborah Cohen, Asaf Revach, David Kogan, Andrew Callahan, Richard Borovoy, Andrew Richardson, Eran Ofek, Idan Szpektor, Jonathan Berant, Yossi Matias