Patents Examined by Seong-Ah A Shin
  • Patent number: 11386304
    Abstract: An electronic device is provided. The electronic device includes a memory configured to store a computer executable instructions; and a processor configured to execute the executable instructions to: determine a text corresponding to a received command, provide response information on the command based on a first artificial intelligence model classifying the text as a text corresponding to one of a plurality of pre-stored texts, and provide error information on the command based on the first artificial intelligence model classifying the text as an error, wherein the first artificial intelligence model is configured to classify the text as the error based on the text corresponding to the command being a similar text having one of an entity and an intent different from at least one of the plurality of pre-stored texts.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: July 12, 2022
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Heejun Song, Sejeong Kwon, Prateek Chaudhry
  • Patent number: 11379667
    Abstract: A system is capable of automatically adjusting or reconstructing a baseline expression to generate a parallelized expression. Evaluation of the parallelized expression provide a substantially similar output as the evaluation of the baseline query in more efficient manner. In some implementations, data indicating an expression to be evaluated on a primary thread of the one or more processors is obtained. Elements of the expression are identified. The elements are grouped into a parse tree representation. Elements of the expression are classified as belonging to either a first category that includes elements that are eligible for parallel processing or a second category that includes elements that are not eligible for parallel processing. A particular element that is classified as belonging to the first category is identified and evaluated on a non-primary thread of the one or more processors. The non-primary thread is evaluated in parallel with the primary thread.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: July 5, 2022
    Assignee: Appian Corporation
    Inventors: Brian Joseph Sullivan, Matthew David Hilliard
  • Patent number: 11380312
    Abstract: A system configured to improve wakeword detection. The system may selectively rectify (e.g., attenuate) a portion of an audio signal based on energy statistics corresponding to a keyword (e.g., wakeword). For example, a device may perform echo cancellation to generate isolated audio data, may use the energy statistics to calculate signal quality metric values for a plurality of frequency bands of the isolated audio data, and may select a fixed number of frequency bands (e.g., 5-10%) associated with lowest signal quality metric values. To detect a specific keyword, the system determines a threshold ?(f) corresponding to an expected energy value at each frequency band. During runtime, the device determines signal quality metric values by subtracting residual music from the expected energy values. Thus, the device attenuates only a portion of the total number of frequency bands that include more energy than expected based on the energy statistics of the wakeword.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: July 5, 2022
    Assignee: Amazon Technologies, Inc.
    Inventor: Mohamed Mansour
  • Patent number: 11355122
    Abstract: In some examples, a software agent executing on a server an utterance from a customer. The software agent converts the utterance to text. The software agent creates an audio representation of the text and performs a comparison of the audio representation and the utterance. The software agent creates edited text based on the comparison. For example, the software agent may determine, based on the comparison, audio differences between the audio representation and the utterance, create a sequence of edit actions based on the audio differences, and apply the sequence of edit actions to the text to create the edited text. The software agent outputs the edited text as a dialog response to the utterance.
    Type: Grant
    Filed: September 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Fernando Ezequiel Gonzalez, Vinay Kumar Shukla, Rahul Aggarwal, Vrajesh Navinchandra Sejpal, Leonardo Cordoba, Julia Milanese, Zubair Talib, Matias Grinberg
  • Patent number: 11354507
    Abstract: Tracking social collaboration messages includes setting, by a computer, for a discussion group, a respective quota for each of a plurality of sentiment types assignable to a textual message; monitoring, by the computer, typing, by a sender, of text of a message for the discussion group; based on the monitored typing, determining, by the computer, a sentiment type of the message, the determined sentiment type being one of the plurality of sentiment types; and providing, by the computer, to the sender, recommendation for editing the message based on the quota set for the determined sentiment type.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: June 7, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jeremy R. Fox, Gregory J. Boss, Liam S. Harpur, Sarbajit K. Rakshit
  • Patent number: 11348590
    Abstract: The present disclosure provides methods and devices for registering a voiceprint and authenticating a voiceprint. The method for registering a voiceprint includes performing a frame alignment operation on a registration character string inputted by a user in voice to extract first acoustic features of each first character constituting the registration character string; calculating a first posterior probability of the first acoustic features of each first character in a global Gaussian Mixture Model (GMM) model to perform a Baum-Welch (BW) statistic; extracting first vector features of each first character through a preset vector feature extractor configured for multi-character; and stitching the first vector features of each first character sequentially, to obtain a registration voiceprint model of the user.
    Type: Grant
    Filed: August 24, 2016
    Date of Patent: May 31, 2022
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Chao Li, Bengu Wu
  • Patent number: 11321533
    Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: May 3, 2022
    Assignee: International Business Machines Corporation
    Inventors: Trudy L. Hewitt, Jonathan Dunne, Kelley Anders, Robert Grant
  • Patent number: 11315560
    Abstract: A method conducts dialog between human and computer using a self-learning system. The method includes: receiving user inputs in natural language text; mapping of synonyms and key words and word mapping; analyzing the user inputs regarding sentence structure and syntax and their recognition; mapping of key phrases; determining and classifying a user intent; checking if a confirmation is required; and logically processing in a reasoning and an answer preparation with a formulation of a decision on further dialog design, formulation or the dialog history with possible generation of a response.
    Type: Grant
    Filed: July 14, 2017
    Date of Patent: April 26, 2022
    Assignee: COGNIGY GMBH
    Inventors: Philipp Heltewig, Sascha Poggemann
  • Patent number: 11315557
    Abstract: According to one aspect of the invention, there is provided a method for providing a voice recognition trigger, comprising the steps of: estimating a first distance, which is a distance between a device and a user, on the basis of proximity information detected by the device, and estimating a second distance, which is a distance between the device and a location where a voice detected by the device is uttered, with reference to information on the voice detected by the device; and determining whether the voice detected by the device is an object of voice recognition, with reference to similarity between the first distance and the second distance.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: April 26, 2022
    Assignee: VTOUCH CO., LTD.
    Inventors: Seok Joong Kim, Won Jin Jung
  • Patent number: 11302308
    Abstract: A method for generating synthetic telephony narrowband data for training an automatic speech recognition model by receiving a broadband audio data file and then initiating a telephony call using a pre-configured telephone provider to play the broadband audio data file in the telephony call and to record and store audio data generated by transmission of the broadband audio data file in the telephony call, thereby generating the synthetic telephony narrowband data file from the broadband audio data file.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: April 12, 2022
    Assignee: International Business Machines Corporation
    Inventors: Vamshi Krishna Thotempudi, Pierre-Hadrien Arnoux, Vibha S. Sinha
  • Patent number: 11295080
    Abstract: A method, system, and computer program product include providing a list of triggers, training the natural language processor with the list of triggers, providing to the natural language processor a text including one trigger, selecting nodes in the text to create an original potential span, predicting whether the original potential span includes another trigger, and adjusting, in response to predicting that the original potential span includes another trigger, the original potential span to exclude the another trigger to create a new potential span.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: April 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Corville O. Allen, Roberto Delima, David Contreras, Krishna Mahajan
  • Patent number: 11295726
    Abstract: A system and apparatus are provided for generating synthetic telephony narrowband data for training an automatic speech recognition model by receiving a broadband audio data file and then initiating a telephony call using a pre-configured telephone provider to play the broadband audio data file in the telephony call and to record and store audio data generated by transmission of the broadband audio data file in the telephony call, thereby generating the synthetic telephony narrowband data file from the broadband audio data file.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: April 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Vamshi Krishna Thotempudi, Pierre-Hadrien Arnoux, Vibha S. Sinha
  • Patent number: 11295739
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting utterances of a key phrase in an audio signal. One of the methods includes receiving, by a key phrase spotting system, an audio signal encoding one or more utterances; while continuing to receive the audio signal, generating, by the key phrase spotting system, an attention output using an attention mechanism that is configured to compute the attention output based on a series of encodings generated by an encoder comprising one or more neural network layers; generating, by the key phrase spotting system and using attention output, output that indicates whether the audio signal likely encodes the key phrase; and providing, by the key phrase spotting system, the output that indicates whether the audio signal likely encodes the key phrase.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: April 5, 2022
    Inventors: Wei Li, Rohit Prakash Prabhavalkar, Kanury Kanishka Rao, Yanzhang He, Ian C. McGraw, Anton Bakhtin
  • Patent number: 11295077
    Abstract: A method determines a relevancy of answers to questions based on token relevance in a system capable of answering questions. One or more processors receive a question that is composed of a set of tokens T (T1, T2, . . . , Tn). The processor(s) select tokens T? (T?1, T?2, . . . , T?m) from the tokens T (T1, T2, . . . , Tn), where each T?j from T? is a noun, and classify each T?j as a noun type. The processor(s) scan a corpus to identify passages with candidate answers to the question, and analyze the identified passages utilizing noun entries in the passages classified as the noun type. The processor(s) train an artificial intelligence (AI) system to associate a relevancy to the question for the identified passages based on noun types, and then utilize the trained AI system to provide an answer to the question based on an output of the trained AI system.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: April 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Stephen A. Boxwell, Keith G. Frost, Kyle M. Brake, Stanley J. Vernier
  • Patent number: 11288453
    Abstract: Systems and methods are set forth for identifying key-words and key-phrases, collectively referred to as key-terms, from a document. A document is accessed and the document is tokenized, each token corresponding to a word or phrase occurring within the document. Term frequencies of the terms of the tokens may be determined and TF-IDF scores may be generated according to the term frequencies. Embedding vectors for the terms of the tokens may be generated and a document embedding vector may be generated according to the embedding vectors of the documents. A similarity score may be determined for each token according to the embedding vector of a token and the document embedding vector. Additionally, an overall score may be determined for each token according to the term of the token, a TF-IDF score, similarity scores, and the like. Terms from the highest scoring tokens are selected as the key-terms for the document.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: March 29, 2022
    Assignee: Pinterest, Inc.
    Inventors: Heath Vinicombe, Yunsong Guo, Yu Liu, Anant Srinivas Subramanian
  • Patent number: 11270721
    Abstract: Pre-processing systems, methods of pre-processing, and speech processing systems for improved Automated Speech Recognition are provided. Some pre-processing systems for improved speech recognition of a speech signal are provided, which systems comprise a pitch estimation circuit; and a pitch equalization processor. The pitch estimation circuit is configured to receive the speech signal to determine a pitch index of the speech signal, and the pitch equalization processor is configured to receive the speech signal and pitch information, to equalize a speech pitch of the speech signal using the pitch information, and to provide a pitch-equalized speech signal.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: March 8, 2022
    Assignee: PLANTRONICS, INC.
    Inventors: Youhong Lu, Arun Rajasekaran
  • Patent number: 11270696
    Abstract: An audio device with at least one microphone adapted to receive sound from a sound field and create an output, and a processing system that is responsive to the output of the microphone. The processing system is configured to use a signal processing algorithm to detect a wakeup word, and modify the signal processing algorithm that is used to detect the wakeup word if the sound field changes.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: March 8, 2022
    Assignee: Bose Corporation
    Inventors: Ricardo Carreras, Alaganandan Ganeshkumar
  • Patent number: 11270687
    Abstract: A method includes receiving audio data encoding an utterance spoken by a native speaker of a first language, and receiving a biasing term list including one or more terms in a second language different than the first language. The method also includes processing, using a speech recognition model, acoustic features derived from the audio data to generate speech recognition scores for both wordpieces and corresponding phoneme sequences in the first language. The method also includes rescoring the speech recognition scores for the phoneme sequences based on the one or more terms in the biasing term list, and executing, using the speech recognition scores for the wordpieces and the rescored speech recognition scores for the phoneme sequences, a decoding graph to generate a transcription for the utterance.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: March 8, 2022
    Assignee: Google LLC
    Inventors: Ke Hu, Antoine Jean Bruguier, Tara N. Sainath, Rohit Prakash Prabhavalkar, Golan Pundak
  • Patent number: 11244698
    Abstract: Systems and methods are provided for analyzing voice-based audio inputs. A voice-based audio input associated with a user (e.g., wherein the voice-based audio input is a prompt or a command) is received and measures of one or more features are extracted. One or more parameters are calculated based on the measures of the one or more features. The occurrence of one or more mistriggers is identified by inputting the one or more parameters into a predictive model. Further, systems and methods are provided for identifying human mental health states using mobile device data. Mobile device data (including sensor data) associated with a mobile device corresponding to a user is received. Measurements are derived from the mobile device data and input into a predictive model. The predictive model is executed and outputs probability values of one or more symptoms associated with the user.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: February 8, 2022
    Assignee: Cogito Corporation
    Inventors: Joshua Feast, Ali Azarbayejani, Skyler Place
  • Patent number: 11227128
    Abstract: A machine accesses a preexisting set of natural language text documents in multiple natural languages. Each natural language text document in at least a portion of the preexisting set is associated with an event. The machine trains, using the preexisting set of natural language text documents and the associated events, an event encoder to learn associations between texts and event annotations. The event encoder leverages a parser in each of the two or more natural languages. The machine generates, using the event encoder, new event annotations for texts. The machine trains, using the preexisting set of natural language text documents and the new event annotations for the texts generated by the event encoder, an event extraction engine to extract events from natural language texts in the two or more natural languages. The event extraction engine leverages the parser in each of the two or more natural languages.
    Type: Grant
    Filed: June 7, 2019
    Date of Patent: January 18, 2022
    Assignee: Raytheon BBN Technologies Corp.
    Inventors: Bonan Min, Yee Seng Chan, Ilana Heintz