Patents Examined by Daniel Abebe
  • Patent number: 10691896
    Abstract: Examples of the present disclosure describe systems and methods relating to conversational system user behavior identification. A user of the conversational system may be evaluated based on one or more factors. The one or more factors may be compared to an aggregated measure for a larger group of conversational system users, such that “anomalous” behavior (e.g., behavior that deviates from a normal behavior) may be identified. When a user is identified as exhibiting anomalous behavior, the conversational system may adapt its interactions with the user in order to encourage, discourage, or further observe the identified behavior. As a result, the conversational system may be able to verify a user's anomalous behavior, discourage the anomalous behavior, or take other action while interacting with the user.
    Type: Grant
    Filed: October 2, 2018
    Date of Patent: June 23, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Joseph Edwin Johnson, Jr., Emmanouil Koukoumidis, Donald Brinkman, Matthew Schuerman
  • Patent number: 10685642
    Abstract: An information processing method includes determining information received by an electronic device is information of a first type, converting the first type information to information of a second type, and, in response to receiving a presentation instruction for the second type information, presenting the second type information on the electronic device using a presentation mode corresponding to the second type information.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: June 16, 2020
    Assignee: LENOVO (BEIJING) CO., LTD.
    Inventors: Chen Chen, Xiaoping Zhang
  • Patent number: 10685669
    Abstract: This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user.
    Type: Grant
    Filed: March 20, 2018
    Date of Patent: June 16, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Gang Lan, Joseph Pedro Tavares, Deepak Uttam Shah, Mckay Clawson, Vijay Shankar Tennety, Ravi Kiran Rachakonda, Venkata Snehith Cherukuri, Charles James Torbert
  • Patent number: 10679629
    Abstract: A device can perform device arbitration, even when the device is unable to communicate with a remote system over a wide area network (e.g., the Internet). Upon detecting a wakeword in an utterance, the device can wait a period of time for data to arrive at the device, which, if received, indicates to the device that another speech interface device in the environment detected an utterance. If the device receives data prior to the period of time lapsing, the device can determine the earliest-occurring wakeword based on multiple wakeword occurrence times, and may designate whichever device that detected the wakeword first as the designated device to perform an action with respect to the user speech. To account for differences in sound capture latency between speech interface devices, a pre-calculated time offset value can be applied to wakeword occurrence time(s) during device arbitration.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: June 9, 2020
    Assignee: Amazon Technologies, Inc.
    Inventor: Stanislaw Ignacy Pasko
  • Patent number: 10679638
    Abstract: The coding efficiency of an audio codec using a controllable—switchable or even adjustable—harmonic filter tool is improved by performing the harmonicity-dependent controlling of this tool using a temporal structure measure in addition to a measure of harmonicity in order to control the harmonic filter tool. In particular, the temporal structure of the audio signal is evaluated in a manner which depends on the pitch. This enables to achieve a situation-adapted control of the harmonic filter tool so that in situations where a control made solely based on the measure of harmonicity would decide against or reduce the usage of this tool, although using the harmonic filter tool would, in that situation, increase the coding efficiency, the harmonic filter tool is applied, while in other situations where the harmonic filter tool may be inefficient or even destructive, the control reduces the appliance of the harmonic filter tool appropriately.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: June 9, 2020
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Goran Markovic, Christian Helmrich, Emmanuel Ravelli, Manuel Jander, Stefan Doehla
  • Patent number: 10679000
    Abstract: A method and a system for interpreting conversational authoring of information models. The system includes an understanding module, a managing module, and a generating module. The understanding module is configured to understand a natural language input to interpret an output. The managing module is configured to construct an information model based on the output of the understanding module. The generating module configured is to prompt, as a response to the natural language inputs, wherein the natural language inputs determine concepts and relationships of the concepts. The method includes receiving an interactive dialog between a conversational agent and an information model designer in natural language to produce an information model. The method can further include validating the information model using an information model management system. The method can include interpreting the information model with the use of an application.
    Type: Grant
    Filed: January 9, 2018
    Date of Patent: June 9, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Martin Hirzel, Avraham Ever Shinnar, Jerome Simeon
  • Patent number: 10672404
    Abstract: An apparatus for decoding an encoded audio signal to obtain a reconstructed audio signal is provided, having: a receiving interface for receiving one or more frames, a coefficient generator, and a signal reconstructor. The coefficient generator is configured to determine one or more first audio signal coefficients, and one or more noise coefficients. Moreover, the coefficient generator is configured to generate one or more second audio signal coefficients, depending on the one or more first audio signal coefficients and depending on the one or more noise coefficients.
    Type: Grant
    Filed: May 2, 2018
    Date of Patent: June 2, 2020
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Michael Schnabel, Goran Markovic, Ralph Sperschneider, Jérémie Lecomte, Christian Helmrich
  • Patent number: 10672401
    Abstract: Systems, apparatus and methods are described including operations for a dual mode GMM (Gaussian Mixture Model) scoring accelerator for both speech and video data.
    Type: Grant
    Filed: June 30, 2016
    Date of Patent: June 2, 2020
    Assignee: Intel Corporation
    Inventors: Nikhil Pantpratinidhi, Gokcen Cilingir, Michael Deisher, Ohad Falik, Michael Kounavis
  • Patent number: 10665236
    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: May 26, 2020
    Assignee: Google LLC
    Inventors: Anshul Kothari, Tarun Jain, Gaurav Bhaya, Lisa Takehana, Ruxandra Davies
  • Patent number: 10650098
    Abstract: Improved techniques for proactive identification of errors are provided. Documents are analyzed, using natural language processing (NLP) models, to identify entities in the documents. The documents are processed with the NLP models to identify relationships among the entities, and each of the entities is stored in a data store, where the data store further includes an indication of the identified relationships among the entities. A draft correspondence is received, and it is determined that the draft correspondence includes a first entity and a second entity, where the first entity and the second entity have a first relationship. Upon determining that the first relationship conflicts with at least one of the relationships stored in the data store, a suggested revision for the draft correspondence is generated.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: May 12, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kevin M. O'Connell, Brenda Berg, Alex Matos, Janet Cederholm
  • Patent number: 10650191
    Abstract: A method of analyzing text is performed at an electronic system that includes one or more processors and memory storing instructions for execution by the one or more processors. The method includes extracting terms from a corpus of text and generating a plurality of rankings of the extracted terms. Each ranking of the plurality of rankings is based on a respective metric of a plurality of metrics. The method further includes defining a set of terms, which includes selecting a number of top-ranked terms from each ranking of the plurality of rankings. The set of terms may be provided for display and/or used as search terms to perform a search.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: May 12, 2020
    Assignee: Elementary IP LLC
    Inventors: Sumeet Sandhu, Tami Lee
  • Patent number: 10650808
    Abstract: Systems and methods for providing a dynamically configurable interface for structured note dictation input for one or more electronic health record (EHR) systems generally comprise a dictation user interface, a dictation management subsystem, and at least one EHR system having a plurality of electronic medical records. The dictation management subsystem generally comprises a computing device configured to moderate the recognized text for a particular EHR system and particular electronic health record.
    Type: Grant
    Filed: February 13, 2018
    Date of Patent: May 12, 2020
    Assignee: Noteswift, Inc.
    Inventors: Timothy Platt, Allan Stratton
  • Patent number: 10643636
    Abstract: There is provided an information processing apparatus capable of enhancing the possibility of outputting information with granularity desired by a user, the information processing apparatus including: a generation unit configured to generate second text data on a basis of first text data and information regarding a first user's auditory characteristics; and an output unit configured to output output information regarding the second text data. The generation unit controls granularity of the second text data on a basis of the information regarding the first user's auditory characteristics.
    Type: Grant
    Filed: May 23, 2016
    Date of Patent: May 5, 2020
    Assignee: SONY CORPORATION
    Inventors: Yuhei Taki, Yoko Ito, Shinichi Kawano
  • Patent number: 10643032
    Abstract: An output sentence generation apparatus for automatically generating one output sentence from a plurality of input keywords includes a candidate sentence generator incorporating a learned neural network configured to take in the plurality of keywords and generate a plurality of candidate sentences each including at least some of the plurality of keywords, and an evaluation outputter configured to calculate an overlap ratio for each of the plurality of candidate sentences generated by the candidate sentence generator and increase an evaluation of the candidate sentence with a small overlap ratio to thereby determine an output sentence from the plurality of candidate sentences. The overlap ratio is the number of occurrences of an overlapping word with respect to the number of occurrences of all words included in the corresponding candidate sentence.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: May 5, 2020
    Assignees: TOYOTA JIDOSHA KABUSHIKI KAISHA, Tokyo Metropolitan University
    Inventors: Mamoru Komachi, Shin Kanouchi, Tomoya Ogata, Tomoya Takatani
  • Patent number: 10635862
    Abstract: A method of facilitating natural language interactions, a method of simplifying an expression, a system for facilitating natural language interactions, and a system for simplifying an expression. The method of facilitating natural language interactions includes the steps of: processing a corpus to select a natural language expression from the corpus; simplifying the selected natural language expression into a plurality of simplified expression portions; wherein the plurality of simplified expression portions is representative of the meaning of the selected natural language expression; and presenting the plurality of simplified expression portions to a user so as to receive a user expression from the user for comparison with the selected natural language expression.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: April 28, 2020
    Assignee: City University of Hong Kong
    Inventor: John Sie Yuen Lee
  • Patent number: 10628469
    Abstract: A method for information processing includes collecting input information, obtaining feedback information in response to the input information, and outputting the feedback information. The feedback information contains query sub-information.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: April 21, 2020
    Assignee: LENOVO (BEIJING) CO., LTD.
    Inventor: Jianqiang Lu
  • Patent number: 10622005
    Abstract: A method and device for automatically increasing the spectral bandwidth of an audio signal including generating a “mapping” (or “prediction”) matrix based on the analysis of a reference wideband signal and a reference narrowband signal, the mapping matrix being a transformation matrix to predict high frequency energy from a low frequency energy envelope, generating an energy envelope analysis of an input narrowband audio signal, generating a resynthesized noise signal by processing a random noise signal with the mapping matrix and the envelope analysis, high-pass filtering the resynthesized noise signal, and summing the high-pass filtered resynthesized noise signal with the input narrowband audio signal. Other embodiments are disclosed.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: April 14, 2020
    Assignee: Staton Techiya, LLC
    Inventors: John Usher, Dan Ellis
  • Patent number: 10614800
    Abstract: Among other things, a developer of an interaction application for an enterprise can create items of content to be provided to an assistant platform for use in responses to requests of end-users. The developer can deploy the interaction application using defined items of content and an available general interaction model including intents and sample utterances having slots. The developer can deploy the interaction application without requiring the developer to formulate any of the intents, sample utterances, or slots of the general interaction model.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: April 7, 2020
    Assignee: Voicify, LLC
    Inventors: Jeffrey K. McMahon, Robert T. Naughton, Nicholas G. Laidlaw, Alexander M. Dunn, Gavin Berkowitz
  • Patent number: 10606945
    Abstract: A dictionary data structure is described. The data structure is made up of first, second, and third tables. The first table is comprised of entries each representing a natural language term, each entry of the first table containing a term ID identifying its term. The second table is comprised of entries each representing a definition, each entry of the second containing a definition ID identifying its definition. The third table is comprised of entries each representing correspondence between a terminate definition defining the term, each entry of the third table containing term ID identifying the defined term and a definition ID identifying the defining definition. The contents of the data structure are usable to identify any definitions corresponding to a term.
    Type: Grant
    Filed: April 19, 2018
    Date of Patent: March 31, 2020
    Assignee: Unified Compliance Framework (Network Frontiers)
    Inventors: Dorian J. Cougias, Matthew Zulch, Vicki McEwen, Erwin Rydell, Erik Granlund, Steven Piliero
  • Patent number: 10607614
    Abstract: An apparatus for decoding an encoded audio signal to obtain a reconstructed audio signal includes a receiving interface for receiving one or more frames comprising information on a plurality of audio signal samples of an audio signal spectrum of the encoded audio signal, and a processor for generating the reconstructed audio signal. The processor is configured to generate the reconstructed audio signal by fading a modified spectrum to a target spectrum, if a current frame is not received by the receiving interface or if the current frame is received by the receiving interface but is corrupted, wherein the modified spectrum includes a plurality of modified signal samples, wherein, for each of the modified signal samples of the modified spectrum, an absolute value of the modified signal sample is equal to an absolute value of one of the audio signal samples of the audio signal spectrum.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: March 31, 2020
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Michael Schnabel, Goran Markovic, Ralph Sperschneider, Jérémie Lecomte, Christian Helmrich