Patents Examined by Martin Lerner
  • Patent number: 11190166
    Abstract: The present invention provides a system and method for representing quasi-periodic (“qp”) waveforms comprising, representing a plurality of limited decompositions of the qp waveform, wherein each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the qp waveform. These decompositions are stored into a data structure having a plurality of attributes. Optionally, these attributes are used to reconstruct the qp waveform, or patterns or features of the qp wave can be determined by using various pattern-recognition techniques. Some embodiments provide a system that uses software, embedded hardware or firmware to carry out the above-described method. Some embodiments use a computer-readable medium to store the data structure and/or instructions to execute the method.
    Type: Grant
    Filed: December 7, 2015
    Date of Patent: November 30, 2021
    Assignee: Murata Vios, Inc.
    Inventors: Carlos A. Ricci, Vladimir V. Kovtun
  • Patent number: 11176323
    Abstract: A computer system generates a vector space model based on an ontology of concepts. One or more training examples are extracted for one or more concepts of a hierarchical ontology, wherein the one or more training examples for the one or more concepts are based on neighboring concepts in the hierarchical ontology. A plurality of vectors, each including one or more features, are initialized, wherein each vector corresponds to a concept of the one or more concepts. A vector space model is generated by iteratively modifying one or more vectors of the plurality of vectors to optimize a loss function. Natural language processing is performed using the vector space model. Embodiments of the present invention further include a method and program product for generating a vector space model in substantially the same manner described above.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Brendan Bull, Paul L. Felt, Andrew G. Hicks
  • Patent number: 11170177
    Abstract: A method is described comprising receiving a conversational transcript of a conversational interaction among a plurality of participants, wherein each participant contributes a sequence of contributions to the conversational interaction. The method includes projecting contributions of the plurality of participants into a semantic space using a natural language vectorization, wherein the semantic space describes semantic relationships among words of the conversational interaction. The method includes computing interaction process measures using information of the conversational transcript, the conversational interaction, and the natural language vectorization.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: November 9, 2021
    Inventors: Nia Marcia Maria Dowell, Tristan Nixon
  • Patent number: 11163963
    Abstract: There is a need for more effective and efficient natural language processing. This need can be addressed by, for example, solutions for performing/executing natural language processing using hybrid document embedding. In one example, a method includes identifying a natural language document associated with one or more document attributes, wherein the natural language document comprises one or more natural language words; determining an attribute-based document embedding for the natural language document, wherein the attribute-based document embedding is generated based on a document vector for the natural language document and a word vector for each natural language word of the one or more natural language words; processing the attribute-based document embedding using a predictive inference model to determine one or more document-related predictions for the natural language document; and performing one or more prediction-based actions based on the one or more document-related predictions.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: November 2, 2021
    Assignee: Optum Technology, Inc.
    Inventors: Shashi Kumar, Suman Roy, Vishal Pathak
  • Patent number: 11145296
    Abstract: Systems and methods described herein relate to adapting a language model for automatic speech recognition (ASR) for a new set of words. Instead of retraining the ASR models, language models and grammar models, the system only modifies one grammar model and ensures its compatibility with the existing models in the ASR system.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: October 12, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Ankur Gandhe, Ariya Rastrow, Gautam Tiwari, Ashish Vishwanath Shenoy, Chun Chen
  • Patent number: 11144724
    Abstract: A clustering method, clustering program, and clustering device are described herein for clustering of words with multiple meanings based on generating vectors for each meaning of a word. The generated vectors provide a distributed representation of a word in a vector space that account for the multiple meanings of the word so as, for instance, to learn semantic representations with high accuracy.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: October 12, 2021
    Inventor: Yuji Mizobuchi
  • Patent number: 11138389
    Abstract: A method includes performing, with at least one processing device, natural language understanding by iteratively (i) generating a semantic word and clause representation and (ii) generating a syntax. The generation of the semantic word and clause representation and the generation of the syntax occur iteratively such that (i) semantics are calculated from syntax by aggregating weights of syntactically-labeled context in which words or clauses appear and (ii) syntax is calculated from semantics by grouping common pairs of words or clauses with similar semantic relations, thereby producing a self-consistent coupled notion of syntax and semantics.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: October 5, 2021
    Assignee: Goldman Sachs & Co. LLC
    Inventor: Paul Burchard
  • Patent number: 11138384
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: October 5, 2021
    Assignee: GOOGLE LLC
    Inventors: Sebastian Millius, Sandro Feuz
  • Patent number: 11132541
    Abstract: A system and method for generating event timelines by analyzing natural language texts from a textual dataset is provided. In one or more examples, the systems and methods can ingest a textual dataset and generate a visual timeline that illustrates the sequence of events contained within the textual dataset and approximately when in time each event in the textual dataset occurred. In one or more examples, machine learning classifiers can be employed to automatically extract event trigger words and time mentions in the textual dataset and anchor the extracted event trigger words to points in time expressed on the timeline. Machine learning classifiers can be employed to extract event trigger words from the textual dataset, relate the extracted event trigger words to one or more time mentions in the textual dataset, and to relate the extracted event trigger words to one or more document creation times found within the textual dataset.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: September 28, 2021
    Assignee: The MITRE Corporation
    Inventors: Ransom K. Winder, Joseph P. Jubinski, Christopher Giannella
  • Patent number: 11127407
    Abstract: Captured vocals may be automatically transformed using advanced digital signal processing techniques that provide captivating applications, and even purpose-built devices, in which mere novice user-musicians may generate, audibly render and share musical performances. In some cases, the automated transformations allow spoken vocals to be segmented, arranged, temporally aligned with a target rhythm, meter or accompanying backing tracks and pitch corrected in accord with a score or note sequence. Speech-to-song music applications are one such example. In some cases, spoken vocals may be transformed in accord with musical genres such as rap using automated segmentation and temporal alignment techniques, often without pitch correction. Such applications, which may employ different signal processing and different automated transformations, may nonetheless be understood as speech-to-rap variations on the theme.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: September 21, 2021
    Assignee: Smule, Inc.
    Inventors: Parag Chordia, Mark Godfrey, Alexander Rae, Prerna Gupta, Perry R. Cook
  • Patent number: 11114106
    Abstract: Provided are a vector quantization device, a voice coding device, a vector quantization method, and a voice coding method which enable a reduction in the calculation amount of voice codec without deterioration of voice quality. In the vector quantization device, a first reference vector calculation unit (201) calculates a first reference vector by multiplying a target vector (x) by an auditory weighting LPC synthesis filter (H), and a second reference vector calculation unit (202) calculates a second reference vector by multiplying an element of the first reference vector by a filter having a high pass characteristic. A polarity preliminary selection unit (205) generates a polar vector by disposing a unit pulse having a positive or negative polarity, which is selected on the basis of the polarity of an element of the second reference vector, in the position of said element.
    Type: Grant
    Filed: January 3, 2019
    Date of Patent: September 7, 2021
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventor: Toshiyuki Morii
  • Patent number: 11107485
    Abstract: A single-bit audio stream can be converted to a modified single-bit audio stream with a constant edge rate while maintaining a modulation index of the original audio stream using direct mapping. With direct mapping, a pre-filter bank may be combined with a multi-bit symbol mapper to select symbols for the modified audio stream with a constant edge rate per symbol and the same modulation index as the original audio stream. The output of the pre-filter bank may be an audio stream with no consecutive full-scale symbols. Using the output of the pre-filter bank, a multi-bit symbol mapper may use the symbol selector to output a symbol with a constant edge rate per symbol and the same modulation index as the original signal. The symbols may be converted to an analog signal for reproduction of audio content using a transducer.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: August 31, 2021
    Assignee: Cirrus Logic, Inc.
    Inventors: Shafagh Kamkar, Dylan A. Hester, Bruce E. Duewer
  • Patent number: 11096848
    Abstract: An assistance device that more appropriately identifies a user using speech. The assistance device is provided with a speech detector, a name acquiring section that acquires a name of a person based on speech detected by the speech detector, and a user identifying section that identifies a care receiver who is a user of the assistance device based on the name acquired by the name acquiring device.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: August 24, 2021
    Inventors: Joji Isozumi, Satoshi Shimizu, Nobuyuki Nakane
  • Patent number: 11094314
    Abstract: A system and a method for detecting a simulated Emergency Alert Signal (EAS) are disclosed. The method includes detecting, by a first detector, one or more tones in a plurality of audio frames. Further, the method includes detecting, by a second detector, one or more beeps in the plurality of audio frames. Thereafter, the method includes detecting, by a third detector, at least one emergency word in the plurality of audio frames based at least on the detected one or more tones or the detected one or more beeps, and thereby detecting the simulated EAS.
    Type: Grant
    Filed: January 18, 2020
    Date of Patent: August 17, 2021
    Assignee: Interra Systems
    Inventors: Rohit Gupta, Niraj Sinha, Hemant Kumar Gangwar, Manik Gupta
  • Patent number: 11087757
    Abstract: Described is a voice dialogue system that includes a voice input unit which acquires a user utterance, an intention understanding unit which interprets an intention of utterance of a voice acquired by the voice input unit, a dialogue text creator which creates a text of a system utterance, and a voice output unit which outputs the system utterance as voice data. When creating a text of a system utterance, the dialogue text creator creates the text by inserting a tag in a position in the system utterance, and the intention understanding unit interprets an utterance intention of a user in accordance with whether a timing at which the user utterance is made is before or after an output of a system utterance at a position corresponding to the tag from the voice output unit.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: August 10, 2021
    Inventors: Atsushi Ikeno, Yusuke Jinguji, Toshifumi Nishijima, Fuminori Kataoka, Hiromi Tonegawa, Norihide Umeyama
  • Patent number: 11074918
    Abstract: A real-time agreement comprehension tool is described. Initially, a user is selected as a signing party to an agreement. A document deployment system enables a computing device associated with the user to access the agreement. The computing device presents the agreement via a display device for digital signing by the user. While the agreement is presented, a voice assistant platform obtains a query from the user about at least a portion of the agreement. Responsive to the query, an agreement comprehension tool of the computing device determines an answer to the query by processing a limited set of documents that are relevant to the portion of the agreement. This limited set of documents includes a corpus of documents corresponding to the authoring organization and previous agreements with which the signing user has interacted. The agreement comprehension tool then causes the answer to be presented for display and/or audibly output.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: July 27, 2021
    Assignee: Adobe Inc.
    Inventors: Jonathan David Herbach, Saurabh Khurana, Ben Sidney Tepfer
  • Patent number: 11069335
    Abstract: Aspects of the disclosure are related to synthesizing speech or other audio based on input data. Additionally, aspects of the disclosure are related to using one or more recurrent neural networks. For example, a computing device may receive text input; may determine features based on the text input; may provide the features as input to an recurrent neural network; may determine embedded data from one or more activations of a hidden layer of the recurrent neural network; may determine speech data based on a speech unit search that attempts to select, from a database, speech units based on the embedded data; and may generate speech output based on the speech data.
    Type: Grant
    Filed: July 12, 2017
    Date of Patent: July 20, 2021
    Assignee: Cerence Operating Company
    Inventors: Vincent Pollet, Enrico Zovato
  • Patent number: 11068655
    Abstract: A text recognition method and apparatus, and a storage medium are provided. The method includes: obtaining sample text data, the sample text data comprising a plurality of sample phrases; and generating a recognition model based on the sample phrases by performing training on a plurality of training nodes. Generating the recognition model includes respectively obtaining, by each of the plurality of training nodes, recognition coefficients of the sample phrases distributed to the corresponding training node; and determining, by the plurality of training nodes, model parameters of the recognition model according to the recognition coefficients of the sample phrases. The method also includes obtaining to-be-recognized text data; inputting the text data to the recognition model; and obtaining recognized target text data output by the recognition model and corresponding to the text data.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: July 20, 2021
    Inventor: Zhao Yang
  • Patent number: 11062718
    Abstract: An encoding apparatus and a decoding apparatus in a transform between a Modified Discrete Cosine Transform (MDCT)-based coder and a different coder are provided. The encoding apparatus may encode additional information to restore an input signal encoded according to the MDCT-based coding scheme, when switching occurs between the MDCT-based coder and the different coder. Accordingly, an unnecessary bitstream may be prevented from being generated, and minimum additional information may be encoded.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: July 13, 2021
    Inventors: Seung Kwon Beack, Tae Jin Lee, Min Je Kim, Dae Young Jang, Kyeongok Kang, Jin Woo Hong, Ho Chong Park, Young-cheol Park
  • Patent number: 11055497
    Abstract: Disclosed are an apparatus and method for generating a natural language. According to an embodiment of the present disclosure, the method for generating the natural language includes receiving a plurality of pieces of data, generating a sentence ID sequence including one or more sentence IDs from the plurality of pieces of data, and generating a sentence corresponding to each of the sentence IDs included in the sentence ID sequence from the sentence ID sequence and the plurality of pieces of data.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: July 6, 2021
    Assignee: NCSOFT Corporation
    Inventors: Hyung Jong Noh, Yeon Soo Lee, Jun Yeop Lee, Jung Sun Jang