Patents Examined by Abdelali Serrou
  • Patent number: 10984805
    Abstract: An apparatus for decoding an encoded signal includes: an audio decoder for decoding an encoded representation of a first set of first spectral portions to obtain a decoded first set of first spectral portions; a parametric decoder for decoding an encoded parametric representation of a second set of second spectral portions to obtain a decoded representation of the parametric representation, wherein the parametric information includes, for each target frequency tile, a source region identification as a matching information; and a frequency regenerator for regenerating a target frequency tile using a source region from the first set of first spectral portions identified by the matching information.
    Type: Grant
    Filed: November 2, 2018
    Date of Patent: April 20, 2021
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Christian Neukam, Sascha Disch, Frederik Nagel, Andreas Niedermeier, Konstantin Schmidt, Balaji Nagendran Thoshkahna
  • Patent number: 10984195
    Abstract: A system, computer-readable medium, and a method including accessing a semantic model, the semantic model having a grammar syntax supporting a comparison of at least one of a semantic model class and an instance of a semantic model class to an incompatible value; specifying an implied property for at least one of a semantic model class and an instance of a semantic model class in the semantic model, the implied property having an associated range; adding the implied property to the semantic model, the implied property to be referenced in a validation and translation of an expression including at least one of the class and the instance of a class having the implied property specified therewith compared to an incompatible value; and generating a record of the semantic model including the implied property added thereto.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: April 20, 2021
    Assignee: General Electric Company
    Inventors: Andrew Walter Crapo, Daniel Edward Russell
  • Patent number: 10984032
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: April 20, 2021
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10984784
    Abstract: Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
    Type: Grant
    Filed: April 16, 2018
    Date of Patent: April 20, 2021
    Assignee: GOOGLE LLC
    Inventors: James Kuczmarski, Vibhor Jain, Amarnag Subramanya, Nimesh Ranjan, Melvin Jose Johnson Premkumar, Vladimir Vuskovic, Luna Dai, Daisuke Ikeda, Nihal Sandeep Balani, Jinna Lei, Mengmeng Niu
  • Patent number: 10978051
    Abstract: Various embodiments may be generally directed to the use of an adversarial learning framework for persona-based dialogue modeling. In some embodiments, automated multi-turn dialogue response generation may be performed using a persona-based hierarchical recurrent encoder-decoder-based generative adversarial network (phredGAN). Such a phredGAN may feature a persona-based hierarchical recurrent encoder-decoder (PHRED) generator and a conditional discriminator. In some embodiments, the conditional discriminator may include an adversarial discriminator that is provided with attribute representations as inputs. In some other embodiments, the conditional discriminator may include an attribute discriminator, and attribute representations may be handled as targets of the attribute discriminator. The embodiments are not limited in this context.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: April 13, 2021
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Oluwatobi Olabiyi, Alan Salimov, Anish Khazane, Erik Mueller
  • Patent number: 10971156
    Abstract: A method, an apparatus, and a system for speech recognition are provided. A third-party application corresponding to a speech signal of a user can be determined according to the speech signal and by means of semantic analysis; and third-party application registry information is searched for and a third-party program is started, so that the user does not need to tap the third-party application to start the corresponding program, thereby providing more intelligent service for the user and facilitating use for the user.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: April 6, 2021
    Assignee: Huawei Teciinologies Co., Ltd.
    Inventors: Shanfu Li, Mingjie Dong
  • Patent number: 10957313
    Abstract: Techniques for performing command processing are described. A system receives, from a device, input data corresponding to a command. The input data may originate as audio data, as text data, or as other data. The system determines NLU processing results corresponding to the input data. The NLU processing results may be associated with multiple speechlets. The system also determines NLU confidences for the NLU processing results for each speechlet. The system sends NLU processing results and an indication to provide potential results to a portion of the multiple speechlets, and receives potential results from the portion of the speechlets. The system also receives indications whether the speechlets need to be re-called if the speechlets are selected to execute with respect to the command. The system ranks the portion of the speechlets based at least in part on the NLU processing results as well as the potential results provided by the portion of the speechlets.
    Type: Grant
    Filed: November 22, 2017
    Date of Patent: March 23, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Ruhi Sarikaya, Zheng Ma, Simon Peter Reavely, Kerry Hammil, Huinan Ren, Bradford Jason Snow, Jerrin Thomas Elanjikal
  • Patent number: 10937419
    Abstract: The invention relates to a control device with voice and/or gestural recognition for the interior lighting of a motor vehicle comprising a plurality of lighting modules (Mn) each capable of emitting at least one light beam in an interior of the vehicle. The device includes at least distinct means (Cn) for detecting a plurality of voice and/or gestural commands (Sn), executed by at least one occupant of the vehicle in specific zones (Zn) of the vehicle interior targeted by the detection means, the detection means (Cn) being capable of transmitting data representative of the commands (Sn) to at least processing and analysis means (ECU) configured to merge and prioritize the data and generate, after comparison with reference data, at least one instruction (An) to at least one interior lighting module (Mn).
    Type: Grant
    Filed: March 21, 2017
    Date of Patent: March 2, 2021
    Assignee: VALEO VISION
    Inventors: Thierry Fleurence, Aymeric Koniec
  • Patent number: 10937417
    Abstract: Systems and methods for building a response for a machine learning-based dialogue agent includes implementing machine learning classifiers that predict slot segments of the utterance data based on an input of the utterance data; predict a slot classification label for each of the slot segments of the utterance data; computing a semantic vector value for each of the slot segments of the utterance data; assessing the semantic vector value of the slot segments of the utterance data against a multi-dimensional vector space of structured categories of dialogue, wherein the assessment includes: for each of a distinct structured categories of dialogue computing a similarity metric value; selecting one structured category of dialogue from the distinct structured categories of dialogue based on the computed similarity metric value for each of distinct structured categories; and producing a response to the utterance data.
    Type: Grant
    Filed: May 18, 2020
    Date of Patent: March 2, 2021
    Assignee: Clinc, Inc.
    Inventors: Yiping Kang, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
  • Patent number: 10922621
    Abstract: Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora. The computer-implemented method can also comprise mapping, by the system, the received regulatory document or the received policy document to the control framework using a supervised machine learning technique.
    Type: Grant
    Filed: November 11, 2016
    Date of Patent: February 16, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Swapna Buccapatnam Tirumala, Ashish Jagmohan, Elham Khabiri, Ta-Hsin Li, Matthew Daniel Riemer, Vadim Sheinin, Aditya Vempaty
  • Patent number: 10922490
    Abstract: Systems, methods and apparatus for authoring an electronic message. In one example, the system, method, and apparatus include receiving an electronic message; categorizing the electronic message based on a message layout type associated with the electronic message; determining, with a sentiment analyzer, a sentiment type and a sentiment score associated with the electronic message; identifying a first plurality of words in the electronic message associated with the sentiment type; and outputting one or more selected from the group consisting of the message layout type, the sentiment type, and the sentiment score associated with the electronic message.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: February 16, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventor: Varun Jain
  • Patent number: 10902205
    Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: January 26, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ke Ke Cai, Jing Ding, Zhong Su, Chang Hua Sun, Li Zhang, Shi Wan Zhao
  • Patent number: 10902326
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: January 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10896688
    Abstract: A conversation analysis system has a local system configured to capture conversation data associated with a conversation between an individual and a user and a backend system electronically connected to the local system. The backend system has a suggestion system configured to receive the conversation data from the local system and extract, by an analysis unit, information from the conversation data indicative of a mood of the individual. The suggestion system is further configured to classify, by a classifier unit, the individual based on the extracted information, including determining a current classification and determine, by a suggestion unit, one or more rules based at least on the current classification and stored information in a knowledge base. The suggestion system is further configured to provide, by the suggestion unit, at least one of an alert or suggestion to the user based on the one or more rules.
    Type: Grant
    Filed: May 10, 2018
    Date of Patent: January 19, 2021
    Assignee: International Business Machines Corporation
    Inventors: Roman Vaculin, Pooja Aggarwall, Seep Goel, Seema Nagar, Kuntal Dey
  • Patent number: 10878184
    Abstract: In one aspect, the present disclosure relates to a method which, in one example embodiment, can include reading text data corresponding to messages and creating semantic annotations to the text data to generate annotated messages. Creating the semantic annotations can include generating, at least in part by at least one trained statistical language model, predictive labels as annotations corresponding to language patterns associated with the text data. The method further includes aggregating the annotated messages and storing information associated with the aggregated annotated messages in a message store, and performing, based on information from the message store and associated with the messages, global analytics functions.
    Type: Grant
    Filed: July 3, 2017
    Date of Patent: December 29, 2020
    Assignee: Digital Reasoning Systems, Inc.
    Inventors: Timothy Wayne Estes, James Johnson Gardner, Matthew Russell, Phillip Daniel Michalak
  • Patent number: 10860803
    Abstract: A system is described which accepts corporate title and employee data associated with that corporate title data at a first company, putting the corporate title and employee data through a configured network and generating a vector of terms and a set of coefficients associated with that title. Information about an employee is put through a second network using those terms and coefficients to determine if the employee would have the same or similar title at the first company.
    Type: Grant
    Filed: May 2, 2018
    Date of Patent: December 8, 2020
    Assignee: 8x8, Inc.
    Inventors: Solomon Fung, Soumyadeb Mitra, Abishek Kashyap, Arunim Samat, Venkat Nagaswamy, Justin Driemeyer
  • Patent number: 10818311
    Abstract: An auditory selection method based on a memory and attention model, including: step S1, encoding an original speech signal into a time-frequency matrix; step S2, encoding and transforming the time-frequency matrix to convert the matrix into a speech vector; step S3, using a long-term memory unit to store a speaker and a speech vector corresponding to the speaker; step S4, obtaining a speech vector corresponding to a target speaker, and separating a target speech from the original speech signal through an attention selection model. A storage device includes a plurality of programs stored in the storage device. The plurality of programs are configured to be loaded by a processor and execute the auditory selection method based on the memory and attention model. A processing unit includes the processor and the storage device.
    Type: Grant
    Filed: November 14, 2018
    Date of Patent: October 27, 2020
    Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
    Inventors: Jiaming Xu, Jing Shi, Bo Xu
  • Patent number: 10796697
    Abstract: Systems and methods are provided for associating meetings with projects. Some implementations include evaluating a similarity between a conversation between two or more users and a set of keywords characterizing at least one project associated with a user of the two or more users, where the conversation is captured by sensor data. Based on the similarity, a listening mode is activated on a user device associated with the user. Contextual information associated with the conversation is generated from portions of the sensor data provided by the activated listening mode. A meeting corresponding to the conversation is assigned to a project associated with the user based on the contextual information. Content is personalized to the user based on the assignment of the meeting to the project.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: October 6, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Haim Somech, Ido Priness, Dikla Dotan-Cohen
  • Patent number: 10796712
    Abstract: The disclosure provides a method and an apparatus for detecting a voice activity in an input audio signal composed of frames. A noise characteristic of the input signal is determined based on a received frame of the input audio signal. A voice activity detection (VAD) parameter is derived based on the noise characteristic of the input audio signal using an adaptive function. The derived VAD parameter is compared with a threshold value to provide a voice activity detection decision. The input audio signal is processed according to the voice activity detection decision.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: October 6, 2020
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventor: Zhe Wang
  • Patent number: 10777201
    Abstract: A server is provided, including a processor configured to execute a bot server program. The bot server program may receive from a computing device an input with an input type that includes one or more of speech and text. The bot server program may programmatically generate an output, wherein the output is generated based on the input. The bot server program may detect one or more output types capable of being output by the computing device and select an output type from a plurality of output types that may include speech and text. The selected output type may be an output type capable of being output by the computing device. The bot server program may modify the programmatically generated output to produce a modified output with the selected output type, and may convey the modified output to the computing device for output on a display and/or speaker.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: September 15, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Adina Magdalena Trufinescu, Khuram Shahid, Daniel J. Driscoll, Adarsh Sridhar