Specialized Models Patents (Class 704/255)
  • Patent number: 10706215
    Abstract: A formula system can transform a formula natural language representation (“NLR”) into a representation which shows the formula in traditional mathematical notation. This transformation can include creating a state machine with transition mappings between states that match to initial parts of the NLR. These transition mappings can include global transition mappings that are first attempted to be matched to the beginning of the NLR and then state specific transition mappings can be matched to the NLR. The formula system can consume the NLR, transitioning from state to state as indicated by the transition mappings and removing the matched initial part from the NLR, until the NLR has been fully consumed. In some cases, the formula system can recursively or iteratively create additional state machines to consume portions of the NLR. Some states provide a result (e.g. portion of a formula representation) which are combined to create the final formula representation.
    Type: Grant
    Filed: April 4, 2018
    Date of Patent: July 7, 2020
    Assignee: Parsegon
    Inventors: Mathew Pregasen, Rikhav Shah
  • Patent number: 10692016
    Abstract: Methods and apparatuses are described for analyzing unstructured computer text for identification and classification of complaint-specific interactions. A computer data stores unstructured text. A server computing device splits the unstructured text into phrases of words. The server generates a set of tokens from each phrase and removes tokens that are stopwords. The server generates a normalized sentiment score for each set of tokens. The server uses a rules-based classification engine to generate a rules-based complaint score for each set of tokens. The server uses an artificial intelligence machine learning model to generate a model-based complaint score for each set of tokens. The server determines determine whether each set of tokens corresponds to a complaint-specific interaction based upon the rules-based complaint score and the model-based complaint score.
    Type: Grant
    Filed: February 7, 2017
    Date of Patent: June 23, 2020
    Assignee: FMR LLC
    Inventors: Aravind Chandramouli, Nitin Hardeniya, Sunil Kumar
  • Patent number: 10685647
    Abstract: A speech recognition method and a speech recognition device are disclosed. The speech recognition method includes: obtaining features of a speech signal to be recognized; performing a path search in a search space generated by establishing a map according to the features to output a decoding result; judging whether a rejection is needed according to the decoding result; and when the rejection is needed, determining that a speech recognition result is the rejection, and when the rejection is not needed, obtaining the speech recognition result according to the decoding result. The method has a good recognition rejection effect.
    Type: Grant
    Filed: June 24, 2016
    Date of Patent: June 16, 2020
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Bin Yuan, Shouye Peng, Yangfei Xu
  • Patent number: 10657957
    Abstract: A computer-implemented method and supporting system transcribes spoken words being monitored from a telephonic interaction among two or more individuals. Telephonic interactions among the individuals are monitored, and at least two of the individuals are each assigned to a separate channel. While still being monitored, each of the channels is assigned a context-based speech recognition models, and in substantially real-time, the monitored telephonic interaction is transcribed from speech to text based on the different assigned models.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: May 19, 2020
    Assignee: Groupe Allo Media SAS
    Inventor: Romain Sambarino
  • Patent number: 10657328
    Abstract: The present disclosure generally relates to systems and processes for morpheme-based word prediction. An example method includes receiving a current word; determining a context of the current word based on the current word and a context of a previous word; determining, using a morpheme-based language model, a likelihood of a prefix based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a stem based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a suffix based on the context of the current word; determining a next word based on the likelihood of the prefix, the likelihood of the stem, and the likelihood of the suffix; and providing an output including the next word.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: May 19, 2020
    Assignee: Apple Inc.
    Inventors: Jerome R. Bellegarda, Jannes G. Dolfing
  • Patent number: 10636428
    Abstract: Systems, methods, and devices for determining a target device for a voice command are provided. A voice command is detected at a plurality of devices. A weight is determined for the detected voice command at each device of the plurality of devices. The determined weight is exchanged among the plurality of devices. A highest weight among the exchanged weights is determined. The device associated with the highest weight is determined as the target device for the voice command.
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: April 28, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventor: Aniket Krishnat Naravanekar
  • Patent number: 10630619
    Abstract: Disclosed is a method of extracting and using a semantic entity from a text message by an electronic device. The method includes: recognizing a text-based input; extracting a semantic entity from the text-based input; and providing the extracted semantic entity through an application in response to the application having a semantic setting that corresponds to the extracted semantic entity.
    Type: Grant
    Filed: February 18, 2015
    Date of Patent: April 21, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Muwoong Lee, Yoonkyong Lee, Jaewon Lee, Seokjin Chang, Sunghoon Cho, Sangmi Kim, Donghyun Roh
  • Patent number: 10629197
    Abstract: A voice processing system includes a voice acquisition unit that acquires an utterance of a user, a voice recognition unit that recognizes contents of the utterance acquired by the voice acquisition unit, an execution unit that executes processing based on a result of the voice recognition unit, and a determination unit that determines a candidate of a word to substitute a certain word. When the voice recognition unit recognizes a request including a first word, the execution unit executes the request including the first word and provides the user with a processing result. The determination unit determines a second word that is a substitute candidate of the first word. The execution unit also executes a request including the second word instead of the first word and stores a processing result in a storage unit.
    Type: Grant
    Filed: January 19, 2017
    Date of Patent: April 21, 2020
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Sei Kato, Junichi Ito, Takuma Minemura, Junya Masui, Toshiyuki Namba
  • Patent number: 10614811
    Abstract: A system, method, apparatus and computer readable medium for hierarchical speech recognition resolution. The method of hierarchical speech recognition resolution on a platform includes receiving a speech stream from a microphone. The speech stream is resolved using a lowest possible level automatic speech recognition (ASR) engine of multi-level ASR engines. The selection of the lowest possible level ASR engine is based on policies defined for the platform. If resolution of the speech stream is rated less than a predetermined confidence level, the resolution of the speech stream is pushed to a next higher-level ASR engine of the multi-level ASR engines until the resolution of the speech stream meets the predetermined confidence level without violating one or more policies.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: April 7, 2020
    Assignee: Intel Corporation
    Inventors: Douglas Gabel, Jonathan Huang, Sylvia J. Downing, Narayan Biswal, Binuraj Ravindran, Willem Beltman, Vered Bar Bracha, Ze'Ev Rivlin
  • Patent number: 10600407
    Abstract: A generation device includes a receiving unit and a generating unit. The receiving unit receives a model representing correspondence between one or more phonetic symbols and one or more words. The generating unit generates a first finite state transducer based on the model, the first finite state transducer at least including, as outgoing transitions from a first state representing transition destination of a first transition which has a first phonetic symbol of a predetermined type as input symbol, a second transition that has a second phonetic symbol, which is different than a particular symbol representing part or whole of input symbol of the first transition, as input symbol, and a third transition that has a third phonetic symbol, which represents the particular symbol or silence, as input symbol.
    Type: Grant
    Filed: February 9, 2017
    Date of Patent: March 24, 2020
    Assignee: Kabushiki Kaisha Toshiba
    Inventor: Manabu Nagao
  • Patent number: 10599776
    Abstract: A mechanism is provided for improving predicate parses (or logical representations of a passage) using semantic knowledge. In response to encountering an ambiguous decision point during a syntactic analysis of a portion of natural language content, a candidate meaning of the ambiguous decision point is generated. Characteristics of the ambiguous decision point are evaluated based on a semantic knowledge base to determine a semantic meaning associated with the ambiguous decision point. A determination is made as to whether the semantic meaning supports or refutes the candidate meaning. In response to determining that the semantic meaning refutes the candidate meaning, the candidate meaning of the ambiguous decision point is overridden based on the semantic meaning to include the semantic meaning as a final meaning for the ambiguous decision point. The portion of natural language content is then processed based on the final meaning for the ambiguous decision point.
    Type: Grant
    Filed: October 12, 2018
    Date of Patent: March 24, 2020
    Assignee: International Business Machines Corporation
    Inventors: Brendan C. Bull, David Contreras, Paul L. Felt
  • Patent number: 10565994
    Abstract: A method, computer-readable medium, and system including a speech-to-text module to receive an input of speech including one or more words generated by a human and to output data including text, sentiment information, and other parameters corresponding to the speech input; a processing module like Artificial Intelligence to generate a reply to the speech input, the reply including a textual component, sentimental information associated with the textual component, and contextual information associated with the textual component; and a text-to-speech module to receive the textual component, sentimental information, and contextual information and to generate, based on the received textual component and its associated sentimental information and contextual information, a speech output including one or more spoken words, the spoken words to be presented with at least one of a pace, a tone, a volume, and an emphasis representative of the sentimental information and contextual information associated with the textual
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: February 18, 2020
    Assignee: General Electric Company
    Inventors: Ching-Ling Huang, Raju Venkataramana, Yoshifumi Nishida
  • Patent number: 10552534
    Abstract: Aspects of the present invention disclose a method, computer program product, and system for parsing a domain-specific language (DSL) statement. The method includes one or more processors accessing a DSL statement that includes contracted phrases. The method further includes one or more processors identifying one or more contracted phrases in the DSL statement utilizing an annotated domain vocabulary for a DSL associated with the DSL statement and grammar rules for the DSL. The method further includes one or more processors determining expanded phrases corresponding to the identified one or more contracted phrases based on the annotated domain vocabulary and the grammar rules. The method further includes one or more processors creating an expanded abstract syntax tree (AST) that is representative of the DSL statement with the determined expanded phrases replacing the identified one or more contracted phrases.
    Type: Grant
    Filed: January 19, 2017
    Date of Patent: February 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jean-Michel G. B. Bernelas, Ulrich M. Junker, Stephane Mery
  • Patent number: 10546595
    Abstract: Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: January 28, 2020
    Assignee: NUANCE COMMUNICATIONS, INC.
    Inventors: Dan Melamed, Srinivas Bangalore, Michael Johnston
  • Patent number: 10545512
    Abstract: A method for controlling a drone includes receiving a request for information about a spatial location, generating data requests, configuring a flight plan and controlling one or more drones to fly over the spatial location to obtain data types based on the data requests, and extracting and analyzing data to answer the request. The method can include extracting data points from the data types, obtaining labels from a user for one or more of the data points, predicting labels for unlabeled data points from a learning algorithm using the labels obtained from the user, determining the predicted labels are true labels for the unlabeled data points and combining the extracted data, the user labeled data points and the true labeled data points to answer the request for information. The learning algorithm may be active learning using a support vector machine.
    Type: Grant
    Filed: April 17, 2019
    Date of Patent: January 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Gregory F. Boland, James R. Kozloski, Yu Ma, Justin G. Manweiler, Kevin E. Siemonsen, Umut Topkara, Katherine Vogt, Justin D. Weisz
  • Patent number: 10540966
    Abstract: A method includes: loading, by a processor, a grammar specification defining at least one parameterizable grammar including a plurality of rules; setting, by the processor, an initial state of a grammar processor as a current state, the current state including parameters supplied to the rules; selecting, by the processor, a rule of the plurality of rules matching the parameters of the current state of the grammar processor; applying, by the processor, the selected rule to the audio and updating the current state; determining, by the processor, whether termination conditions have been met; in response to determining the termination conditions are not met, selecting, by the processor, from the plurality of rules in accordance with parameters of the updated state; and in response to determining the termination conditions are met, outputting, by the processor, a recognizer result of the current state.
    Type: Grant
    Filed: November 2, 2017
    Date of Patent: January 21, 2020
    Inventor: Felix Immanuel Wyss
  • Patent number: 10475438
    Abstract: A text-to-speech (TTS) system that is capable of considering characteristics of various portions of text data in order to create continuity between segments of synthesized speech. The system can analyze text portions of a work and create feature vectors including data corresponding to characteristics of the individual portions and/or the overall work. A TTS processing component can then consider feature vector(s) from other portions when performing TTS processing on text of a first portion, thus giving the TTS component some intelligence regarding other portions of the work, which can then result in more continuity between synthesized speech segments.
    Type: Grant
    Filed: March 2, 2017
    Date of Patent: November 12, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Roberto Barra Chicote, Javier Latorre, Adam Franciszek Nadolski, Viacheslav Klimkov, Thomas Edward Merritt
  • Patent number: 10437933
    Abstract: A machine translation system capable of clustering training data and performing dynamic domain adaptation is disclosed. An unsupervised domain clustering process is utilized to identify domains in general training data that can include in-domain training data and out-of-domain training data. Segments in the general training data are then assigned to the domains in order to create domain-specific training data. The domain-specific training data is then utilized to create domain-specific language models, domain-specific translation models, and domain-specific model weights for the domains. An input segment to be translated can be assigned to a domain at translation time. The domain-specific model weights for the assigned domain can be utilized to translate the input segment.
    Type: Grant
    Filed: August 16, 2016
    Date of Patent: October 8, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Ann Clifton, Michael Denkowski, Alon Lavie
  • Patent number: 10403276
    Abstract: Techniques for controlling a voice activated feature of a voice activated device are described. Data from one or more sensors and data indicative of a status of a user are received. Based on the analyzing the data, a proximity of the user relative to the location of the voice activated device is determined. One or more voice activated features of the voice activated device are enabled based at least in part on the determined proximity, one or more rules, and one or more user preferences.
    Type: Grant
    Filed: March 17, 2017
    Date of Patent: September 3, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Suma SaganeGowda, Louis Amadio, Artem Zhurid
  • Patent number: 10395109
    Abstract: According to an embodiment, a recognition apparatus includes one or more processors. The one or more processors are configured to calculate, based on the input signal, a score vector sequence in which a plurality of score vectors each including respective scores of symbols are arranged; and cause, among: a first score vector in which a representative symbol corresponding to a best score is a recognition-target symbol; a second score vector in which a representative symbol is a non-target symbol, and a score of the representative symbol is worse than a first threshold; and a third score vector in which a representative symbol is a non-target symbol, and a score of the representative symbol is equal to the first threshold or better than the first threshold, a third score vector satisfying a predefined first condition, to pass through to filter the score vector sequence.
    Type: Grant
    Filed: August 17, 2017
    Date of Patent: August 27, 2019
    Assignee: Kabushiki Kaisha Toshiba
    Inventor: Manabu Nagao
  • Patent number: 10387717
    Abstract: Embodiments of the present invention disclose a transmission method, where the method includes: starting a session between a terminal and a peer terminal; detecting whether information transmitted in the session satisfies a trigger condition; and if the information satisfies the trigger condition, acquiring an image, and sending the image to the peer terminal, where the information transmitted in the session includes text information or voice information. According to the present invention, information transmission efficiency can be improved.
    Type: Grant
    Filed: July 2, 2014
    Date of Patent: August 20, 2019
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Xiaojuan Li, Zhu Liu, Wenmei Gao
  • Patent number: 10366163
    Abstract: Systems and methods for determining knowledge-guided information for a recurrent neural networks (RNN) to guide the RNN in semantic tagging of an input phrase are presented. A knowledge encoding module of a Knowledge-Guided Structural Attention Process (K-SAP) receives an input phrase and, in conjunction with additional sub-components or cooperative components generates a knowledge-guided vector that is provided with the input phrase to the RNN for linguistic semantic tagging. Generating the knowledge-guided vector comprises at least parsing the input phrase and generating a corresponding hierarchical linguistic structure comprising one or more discrete sub-structures. The sub-structures may be encoded into vectors along with attention weighting identifying those sub-structures that have greater importance in determining the semantic meaning of the input phrase.
    Type: Grant
    Filed: September 7, 2016
    Date of Patent: July 30, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yun-Nung Chen, Dilek Z. Hakkani-Tur, Gokhan Tur, Asli Celikyilmaz, Jianfeng Gao, Li Deng
  • Patent number: 10345826
    Abstract: A method for controlling a drone includes receiving a request for information about a spatial location, generating data requests, configuring a flight plan and controlling one or more drones to fly over the spatial location to obtain data types based on the data requests, and extracting and analyzing data to answer the request. The method can include extracting data points from the data types, obtaining labels from a user for one or more of the data points, predicting labels for unlabeled data points from a learning algorithm using the labels obtained from the user, determining the predicted labels are true labels for the unlabeled data points and combining the extracted data, the user labeled data points and the true labeled data points to answer the request for information. The learning algorithm may be active learning using a support vector machine.
    Type: Grant
    Filed: August 28, 2018
    Date of Patent: July 9, 2019
    Assignee: International Business Machines Corporation
    Inventors: Gregory F. Boland, James R. Kozloski, Yu Ma, Justin G. Manweiler, Kevin E. Siemonsen, Umut Topkara, Katherine Vogt, Justin D. Weisz
  • Patent number: 10304443
    Abstract: An electronic device and a voice recognition method thereof are provided. A voice recognition method of an electronic device includes receiving trigger voice, storing a characteristic of the trigger voice for voice verification by analyzing the trigger voice. When a user issues a voice command, determining whether the user voice command comprises the characteristic belonging to the trigger voice, and performing function of the electronic device corresponding to the user voice command based on the determination. Accordingly, users may easily use the voice recognition function of the electronic device.
    Type: Grant
    Filed: October 7, 2014
    Date of Patent: May 28, 2019
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Nam-yeong Kwon, Hee-seob Ryu, Kyung-mi Park, Chan-sik Bok, Chan-hee Choi
  • Patent number: 10297247
    Abstract: Various implementations disclosed herein include a phonotactic post-processor configured to rescore the N-best phoneme candidates output by a primary ensemble phoneme neural network using a priori phonotactic information. In various implementations, one of the scored set of the N-best phoneme candidates is selected as a preferred estimate for a one-phoneme output decision by the phonotactic post-processor. In some implementations, the one-phoneme output decision is an estimate of the most likely detected and recognized phoneme in a frame based on a function of posterior probabilities generated by an ensemble phoneme neural network, as well as phonotactic information and statistical performance characterizations incorporated by the phonotactic post-processor.
    Type: Grant
    Filed: August 28, 2016
    Date of Patent: May 21, 2019
    Assignee: MALASPINA LABS (BARBADOS), INC.
    Inventor: Robert Alex Fuhrman
  • Patent number: 10296160
    Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.
    Type: Grant
    Filed: December 6, 2013
    Date of Patent: May 21, 2019
    Assignee: APPLE INC.
    Inventors: Rushin N. Shah, Devang K. Naik
  • Patent number: 10276188
    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: September 13, 2016
    Date of Patent: April 30, 2019
    Assignee: Cogito Corporation
    Inventors: Joshua Feast, Ali Azarbayejani, Skyler Place
  • Patent number: 10224036
    Abstract: In at least one exemplary embodiment for automated document identification and language dictation recognition systems, the system comprises a database capable of receiving a plurality of verbal records, the verbal record comprising at least one identifier and at least one verbal feature and a processor operably coupled to the database, where the processor has and executes a software program. The processor being operational to identify a subset of the plurality of verbal records from the database, extract at least one verbal feature from the identified records, analyze the at least one verbal feature of the subset of the plurality of verbal records, process the subset of the plurality of records using the analyzed feature according to at least one reasoning approach, generate a processed verbal record using the processed subset of the plurality of records, and deliver the processed verbal record to a recipient.
    Type: Grant
    Filed: June 15, 2017
    Date of Patent: March 5, 2019
    Assignee: InfraWare, Inc.
    Inventors: Nathan Lindle, Nick Mahurin
  • Patent number: 10198509
    Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.
    Type: Grant
    Filed: January 25, 2016
    Date of Patent: February 5, 2019
    Assignee: SRI International
    Inventors: Hui Cheng, Harpreet Singh Sawhney, Ajay Divakaran, Qian Yu, Jingen Liu, Amir Tamrakar, Saad Ali, Omar Javed
  • Patent number: 10186262
    Abstract: A speech recognition system interprets both spoken system commands as well as application commands. Users may speak commands to an open microphone of a computing device that may be interpreted by at least two speech recognizers operating simultaneously. The first speech recognizer interprets operating system commands and the second speech recognizer interprets application commands. The system commands may include at least opening and closing an application and the application commands may include at least a game command or navigation within a menu. A reserve word may be used to identify whether the command is for the operation system or application. A user's cadence may also indicate whether the speech is a global command or application command. A speech recognizer may include a natural language software component located in a remote computing device, such as in the so-called cloud.
    Type: Grant
    Filed: July 31, 2013
    Date of Patent: January 22, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Christian Klein, Dennis Mooney, II, Thomas Soemo, Leo Soong, Joseph Wheeler
  • Patent number: 10157608
    Abstract: According to an embodiment, a voice processing device includes an interface system, a determining processor, and a predicting processor. The interface system configured to receive neutral voice data representing audio in a neutral voice of a user. The determining processor configured to determine a predictive parameter based at least in part on the neutral voice data. The predicting processor configured to predict a voice conversion model for converting the neutral voice of the speaker to a target voice using at least the predictive parameter.
    Type: Grant
    Filed: February 15, 2017
    Date of Patent: December 18, 2018
    Assignee: KABUSHIKI KAISHA TOSHIBA
    Inventors: Yamato Ohtani, Yu Nasu, Masatsune Tamura, Masahiro Morita
  • Patent number: 10140982
    Abstract: A method for using speech disfluencies detected in speech input to assist in interpreting the input is provided. The method includes providing access to a set of content items with metadata describing the content items, and receiving a speech input intended to identify a desired content item. The method further includes detecting a speech disfluency in the speech input and determining a measure of confidence of a user in a portion of the speech input following the speech disfluency. If the confidence measure is lower than a threshold value, the method includes determining an alternative query input based on replacing the portion of the speech input following the speech disfluency with another word or phrase. The method further includes selecting content items based on comparing the speech input, the alternative query input (when the confidence measure is low), and the metadata associated with the content items.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: November 27, 2018
    Assignee: VEVEO, INC.
    Inventors: Murali Aravamudan, Daren Gill, Sashikumar Venkataraman, Vineet Agarwal, Ganesh Ramamoorthy
  • Patent number: 10132519
    Abstract: An air conditioning system includes a collector that obtains user's voice data; a voice recognizer that generates character-string data on the basis of the voice data; a memory that stores therein a search table having a standard keyword that indicates the type of sensitivity to the environment inside a room and derivative keywords that indicate a same type of sensitivity as the standard keyword, while indicating different sensitivity levels; an analyzer that determines the type and level of user's sensitivity on the basis of the character-string data and the search table; and a controller that outputs a control signal to an adjustment device in an indoor device, the adjustment device adjusting the environment inside a room on the basis of the type and level of sensitivity, which are determined by the analyzer.
    Type: Grant
    Filed: April 3, 2015
    Date of Patent: November 20, 2018
    Assignee: Mitsubishi Electric Corporation
    Inventors: Toshiki Iuchi, Kazuyuki Katayama
  • Patent number: 10102860
    Abstract: In at least one exemplary embodiment for common phrase identification and language dictation recognition systems and methods for using the same, the system comprises a database capable of receiving a plurality of verbal records, the verbal record comprising at least one identifier and at least one verbal feature and a processor operably coupled to the database, where the processor has and executes a software program. The processor being operational to identify a subset of the plurality of verbal records from the database, extract at least one verbal feature from the identified records, analyze the at least one verbal feature of the subset of the plurality of verbal records, process the subset of the plurality of records using the analyzed feature according to at least one reasoning approach, generate a processed verbal record using the processed subset of the plurality of records, and deliver the processed verbal record to a recipient.
    Type: Grant
    Filed: June 15, 2017
    Date of Patent: October 16, 2018
    Assignee: InfraWare, Inc.
    Inventors: Nathan Lindle, Nick Mahurin
  • Patent number: 10102200
    Abstract: A mechanism is provided for improving predicate parses (or logical representations of a passage) using semantic knowledge. In response to encountering an ambiguous decision point during a syntactic analysis of a portion of natural language content, a candidate meaning of the ambiguous decision point is generated. Characteristics of the ambiguous decision point are evaluated based on a semantic knowledge base to determine a semantic meaning associated with the ambiguous decision point. A determination is made as to whether the semantic meaning supports or refutes the candidate meaning. In response to determining that the semantic meaning refutes the candidate meaning, the candidate meaning of the ambiguous decision point is overridden based on the semantic meaning to include the semantic meaning as a final meaning for the ambiguous decision point. The portion of natural language content is then processed based on the final meaning for the ambiguous decision point.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: October 16, 2018
    Assignee: International Business Machines Corporation
    Inventors: Brendan C. Bull, David Contreras, Paul L. Felt
  • Patent number: 10095243
    Abstract: A method for controlling a drone includes receiving a natural language request for information about a spatial location, parsing the natural language request into data requests, configuring a flight plan and controlling one or more drones to fly over the spatial location to obtain data types based on the data requests, and extracting and analyzing data to answer the request. The method can include extracting data points from the data types, obtaining labels from a user for one or more of the data points, predicting labels for unlabeled data points from a learning algorithm using the labels obtained from the user, determining the predicted labels are true labels for the unlabeled data points and combining the extracted data, the user labeled data points and the true labeled data points to answer the request for information. The learning algorithm may be active learning using a support vector machine.
    Type: Grant
    Filed: August 9, 2016
    Date of Patent: October 9, 2018
    Assignee: International Business Machines Corporation
    Inventors: Gregory F. Boland, James R. Kozloski, Yu Ma, Justin G. Manweiler, Kevin E. Siemonsen, Umut Topkara, Katherine Vogt, Justin D. Weisz
  • Patent number: 10068565
    Abstract: An exemplary computer system configured to train an ASR using the output from a TTS engine.
    Type: Grant
    Filed: December 8, 2014
    Date of Patent: September 4, 2018
    Inventor: Fathy Yassa
  • Patent number: 10026398
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting follow-up queries to an initial transcription of an utterance. In some implementations, one or more follow-up queries that are pre-associated with a transcription of an initial utterance of a user are identified. A new or modified language model in which a respective probability associated with one or more of the follow-up queries is increased with respect to an initial language model is obtained. Subsequent audio data corresponding to a subsequent utterance of the user is then received. The subsequent audio data is processed using the new or modified language model to generate a transcription of the subsequent utterance. The transcription of the subsequent utterance is then provided for output to the user.
    Type: Grant
    Filed: July 8, 2016
    Date of Patent: July 17, 2018
    Assignee: Google LLC
    Inventors: Behshad Behzadi, Dmitry Osmakov, Martin Baeuml, Gleb Skobeltsyn
  • Patent number: 10008200
    Abstract: According to an embodiment, a decoder searches a finite state transducer and outputs an output symbol string corresponding to a signal that is input or corresponding to a feature sequence of signal that is input. The decoder includes a token operating unit and a duplication eliminator. The token operating unit is configured to, every time the signal or the feature is input, propagate each of a plurality of tokens, which is assigned with a state of the head of a path being searched, according to the finite state transducer. The duplication eliminator is configured to eliminate duplication of two or more tokens which have same state assigned thereto and for which respective previously-passed transitions are assigned with same input symbol.
    Type: Grant
    Filed: December 18, 2014
    Date of Patent: June 26, 2018
    Assignee: KABUSHIKI KAISHA TOSHIBA
    Inventor: Manabu Nagao
  • Patent number: 9990583
    Abstract: Methods, systems and computer program products are disclosed for detecting patterns in a data stream that match multi-pattern rules. One embodiment of the invention provides a method of recognizing a specified group of patterns in a data stream. The method comprises identifying a rule for said specified group of patterns in the data stream, and using a first array of finite state machines to scan the data stream for at least some of the patterns in the specified group. For patterns in the specified group that are found in the data stream by the first array of finite state machines, pattern identifiers are sent to a second array of finite state machines. The second array of finite state machines determines if the specified group of patterns is in the data stream in accordance with the identified rule by, at least in part, using said pattern identifiers.
    Type: Grant
    Filed: December 21, 2015
    Date of Patent: June 5, 2018
    Assignee: International Business Machines Corporation
    Inventor: Jan van Lunteren
  • Patent number: 9934452
    Abstract: Systems and techniques are provided for pruning a node from a possible nodes list for Hidden Markov Model with label transition node pruning. The node may be a label transition node. A frame may be at a predicted segmentation point in decoding input with the Hidden Markov Model. The node may be scored at the frame. The node may be pruned from the possible nodes list for the frame when score for the node is greater than the sum of a best score among nodes on the possible nodes list for the frame and a beam threshold minus a penalty term. A possible nodes list may be generated for a subsequent frame using label selection. A second node may be pruned from the possible nodes list for the subsequent frame with early pruning.
    Type: Grant
    Filed: June 5, 2017
    Date of Patent: April 3, 2018
    Assignee: Google LLC
    Inventor: Yasuhisa Fujii
  • Patent number: 9916299
    Abstract: Technology is disclosed that improves language coverage by selecting sentences to be used as training data for a language processing engine. The technology accomplishes the selection of a number of sentences by obtaining a group of sentences, computing a score for each sentence, sorting the sentences based on their scores, and selecting a number of sentences with the highest scores. The scores can be computed by dividing a sum of frequency values of unseen words (or n-grams) in the sentence by a length of the sentence. The frequency values can be based on posts in one or more particular domains, such as the public domain, the private domain, or other specialized domains.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: March 13, 2018
    Assignee: Facebook, Inc.
    Inventor: Matthias Gerhard Eck
  • Patent number: 9904666
    Abstract: One or more embodiments present a script to a user in an interactive script environment. A digital representation of a manuscript is analyzed. This digital representation includes a set of roles and a set of information associated with each role in the set of roles. An active role in the set of roles that is associated with a given user is identified based on the analyzing. At least a portion of the manuscript is presented to the given user via a user interface. The portion includes at least a subset of information in the set of information. Information within the set of information that is associated with the active role is presented in a visually different manner than information within the set of information that is associated with a non-active role, which is a role that is associated with a user other than the given user.
    Type: Grant
    Filed: November 3, 2014
    Date of Patent: February 27, 2018
    Inventor: Randall Lee Threewits
  • Patent number: 9842592
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for language models using non-linguistic context. In some implementations, context data indicating non-linguistic context for the utterance is received. Based on the context data, feature scores for one or more non-linguistic features are generated. The feature scores for the non-linguistic features are provided to a language model trained to process scores for non-linguistic features. The output from the language model is received, and a transcription for the utterance is determined using the output of the language model.
    Type: Grant
    Filed: February 12, 2014
    Date of Patent: December 12, 2017
    Assignee: Google Inc.
    Inventors: Fadi Biadsy, Pedro J. Moreno Mengibar
  • Patent number: 9842593
    Abstract: Predetermined services are provided using preset instructions. A transcript of audible content provided over an electronic network and received at a communications device is analyzed to determine whether a trigger is present in the audible content. When the trigger is present in the audible content, preset instructions correlated with the trigger and instructing how to provide a predetermined service are identified. The predetermined service is provided by following the preset instructions.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: December 12, 2017
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Shiv Kumar, Paritosh Bajpay, Anand K. Singh, Satyendra Tripathi
  • Patent number: 9836452
    Abstract: Methods and systems are provided for discriminating ambiguous expressions to enhance user experience. For example, a natural language expression may be received by a speech recognition component. The natural language expression may include at least one of words, terms, and phrases of text. A dialog hypothesis set from the natural language expression may be created by using contextual information. In some cases, the dialog hypothesis set has at least two dialog hypotheses. A plurality of dialog responses may be generated for the dialog hypothesis set. The dialog hypothesis set may be ranked based on an analysis of the plurality of the dialog responses. An action may be performed based on ranking the dialog hypothesis set.
    Type: Grant
    Filed: December 30, 2014
    Date of Patent: December 5, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jean-Philippe Robichaud, Ruhi Sarikaya
  • Patent number: 9830909
    Abstract: A speech recognition method and system enables user-configurable speech commands. For a given speech command, the speech recognition engine provides a mechanism for the end-user to select speech command terms to use in substitution for the given speech command. The speech recognition engine, or module thereof, forms a replacement command for the given speech command from the user-selected speech command terms. The speech recognition engine thereafter is synonymously responsive to user utterance of the replacement command as though the user issued/voiced the associated counterpart given speech command.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: November 28, 2017
    Assignee: Kopin Corporation
    Inventor: Christopher Parkinson
  • Patent number: 9817881
    Abstract: A method, apparatus, and tangible computer readable medium for processing a Hidden Markov Model (HMM) structure are disclosed herein. For example, the method includes receiving Hidden Markov Model (HMM) information from an external system. The method also includes processing back pointer data and first HMM states scores for one or more NULL states in the HMM information. Second HMM state scores are processed for one or more non-NULL states in the HMM information based on at least one predecessor state. Further, the method includes transferring the second HMM state scores to the external system.
    Type: Grant
    Filed: October 16, 2013
    Date of Patent: November 14, 2017
    Assignee: Cypress Semiconductor Corporation
    Inventors: Ojas A. Bapat, Richard M. Fastow, Jens Olson, Kenichi Kumatani
  • Patent number: 9805371
    Abstract: A user may respond to a request of another user by entering text, such as a customer service representative responding to a customer. Suggestions of responses may be provided to the responding user so that the responding user may use a suggested response instead of entering text to provide a response. Previous messages between the two users and other information may be used to determine an appropriate suggested response. A conversation feature vector may be determined from previous messages, and response feature vectors may be determined from the conversation feature vector. The response feature vectors may be used to determine an appropriate suggested response.
    Type: Grant
    Filed: September 1, 2016
    Date of Patent: October 31, 2017
    Assignee: ASAPP, INC.
    Inventors: Gustavo Sapoznik, Shawn Henry
  • Patent number: 9792907
    Abstract: Techniques related to key phrase detection for applications such as wake on voice are discussed. Such techniques may include updating a start state based rejection model and a key phrase model based on scores of sub-phonetic units from an acoustic model to generate a rejection likelihood score and a key phrase likelihood score and determining whether received audio input is associated with a predetermined key phrase based on the rejection likelihood score and the key phrase likelihood score.
    Type: Grant
    Filed: November 24, 2015
    Date of Patent: October 17, 2017
    Assignee: Intel IP Corporation
    Inventors: Tobias Bocklet, Joachim Hofer