Patents by Inventor Pranav Singh

Pranav Singh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240054297
    Abstract: Aspects include methods, systems, and computer-program products providing virtual assistant domain functionality. A natural language query including one or more words is received. A collection of natural language modules is accessed. The collection natural language modules are configured to process sets of natural language queries. A natural language module, from the collection of natural language modules, is identified to interpret the natural language query. An interpretation of the natural language query is computed using the identified natural language module. A response to the natural language query is returned using the computed interpretation.
    Type: Application
    Filed: October 24, 2023
    Publication date: February 15, 2024
    Applicant: SoundHound AI IP, LLC
    Inventors: Kamyar Mohajer, Keyvan Mohajer, Bernard Mont-Reynaud, Pranav Singh
  • Patent number: 11836453
    Abstract: Aspects include methods, systems, and computer-program products providing virtual assistant domain functionality. A natural language query including one or more words is received. A collection of natural language modules is accessed. The collection natural language modules are configured to process sets of natural language queries. A natural language module, from the collection of natural language modules, is identified to interpret the natural language query. An interpretation of the natural language query is computed using the identified natural language module. A response to the natural language query is returned using the computed interpretation.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: December 5, 2023
    Assignee: SoundHound, Inc.
    Inventors: Kamyar Mohajer, Keyvan Mohajer, Bernard Mont-Reynaud, Pranav Singh
  • Publication number: 20230245649
    Abstract: Methods and systems for correction of a likely erroneous word in a speech transcription are disclosed. By evaluating token confidence scores of individual words or phrases, the automatic speech recognition system can replace a low-confidence score word with a substitute word or phrase. Among various approaches, neural network models can be used to generate individual confidence scores. Such word substitution can enable the speech recognition system to automatically detect and correct likely errors in transcription. Furthermore, the system can indicate the token confidence scores on a graphic user interface for labeling and dictionary enhancement.
    Type: Application
    Filed: February 3, 2022
    Publication date: August 3, 2023
    Applicant: SoundHound, Inc.
    Inventors: Pranav SINGH, Saraswati MISHRA, Eunjee NA
  • Publication number: 20220165257
    Abstract: Methods and systems for automatically generating sample phrases or sentences that a user can say to invoke a set of defined actions performed by a virtual assistant are disclosed. By enabling finetuned general-purpose natural language models, the system can generate potential and accurate utterance sentences based on extracted keywords or the input utterance sentence. Furthermore, domain-specific datasets can be used to train the pre-trained, general-purpose natural language models via unsupervised learning. These generated sentences can improve the efficiency of configuring a virtual assistant. The system can further optimize the effectiveness of a virtual assistant in understanding the user, which can enhance the user experience of communicating with it.
    Type: Application
    Filed: November 19, 2021
    Publication date: May 26, 2022
    Applicant: SoundHound, Inc.
    Inventors: Pranav SINGH, Keyvan MOHAJER, Yilun ZHANG
  • Publication number: 20220147510
    Abstract: Systems and methods are provided for natural language processing using neural network models and natural language virtual assistants. The system and method include receiving a natural language phrase including a word sequence, computing corresponding error probabilities that the words are errors, and for a word with a corresponding error probability above a threshold, then computing a replacement phrase with a low error probability to provide a response from the virtual assistant depending on the replacement phrase.
    Type: Application
    Filed: January 21, 2022
    Publication date: May 12, 2022
    Applicant: SoundHound, Inc.
    Inventors: Pranav Singh, Olivia Bettaglio
  • Publication number: 20220075956
    Abstract: A method of providing relevant messages to an automotive virtual assistant is provided. The method includes receiving a spoken utterance and corresponding first geolocation information detected by a subsystem of a first automobile, parsing the spoken utterance to determine concepts and storing the concepts in a concept database indexed by the corresponding first geolocation information. The method further includes receiving second geolocation information detected by a subsystem of a second automobile, searching the concept database for an index based on the second geolocation information to find a stored concept of the stored concepts, searching a natural language expression database using the stored concept as an index to find an assistive natural language expression, wherein the assistive natural language expression includes a constituent part, and sending the assistive natural language expression to the second automobile with the stored concept in place of the constituent part.
    Type: Application
    Filed: November 15, 2021
    Publication date: March 10, 2022
    Applicant: SoundHound, Inc.
    Inventors: Bernard MONT-REYNAUD, Jonah PROBELL, Pranav SINGH, Kheng KHOV
  • Patent number: 11263198
    Abstract: Systems and methods are provided for systematically finding and fixing automatic speech recognition (ASR) mistranscriptions and natural language understanding (NLU) misinterpretations and labeling data for machine learning. High similarity of non-identical consecutive queries indicates ASR mistranscriptions. Consecutive queries with close vectors in a semantic embedding space indicates NLU misinterpretations. Key phrases and barge-in also indicate errors. Only queries within a short amount of time are considered.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: March 1, 2022
    Assignee: SOUNDHOUND, INC.
    Inventors: Olivia Bettaglio, Pranav Singh
  • Publication number: 20210397610
    Abstract: A machine learning system for a digital assistant is described, together with a method of training such a system. The machine learning system is based on an encoder-decoder sequence-to-sequence neural network architecture trained to map input sequence data to output sequence data, where the input sequence data relates to an initial query and the output sequence data represents canonical data representation for the query. The method of training involves generating a training dataset for the machine learning system. The method involves clustering vector representations of the query data samples to generate canonical-query original-query pairs in training the machine learning system.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 23, 2021
    Applicant: SoundHound, Inc.
    Inventors: Pranav SINGH, Yilun ZHANG, Keyvan MOHAJER, Mohammadreza FAZELI
  • Patent number: 11205051
    Abstract: A method of predicting a person's interests is provided. The method includes receiving geolocation information about a user location, reading, from a database of interpretations, at least one interpretation of an expression made in close proximity to the location, reading, from a database of ad bids, a plurality of ad bids comprising interpretations, comparing the interpretation from the database to the interpretations of the ad bids to select a most valuable ad bid having an interpretation that matches the interpretation of an expression made in close proximity to the location, and presenting an ad associated with the most valuable ad bid, wherein the interpretation is from a natural language expression.
    Type: Grant
    Filed: January 2, 2019
    Date of Patent: December 21, 2021
    Assignee: SoundHound, Inc.
    Inventors: Kheng Khov, Pranav Singh, Bernard Mont-Reynaud, Jonah Probell
  • Publication number: 20210350087
    Abstract: Aspects include methods, systems, and computer-program products providing virtual assistant domain functionality. A natural language query including one or more words is received. A collection of natural language modules is accessed. The collection natural language modules are configured to process sets of natural language queries. A natural language module, from the collection of natural language modules, is identified to interpret the natural language query. An interpretation of the natural language query is computed using the identified natural language module. A response to the natural language query is returned using the computed interpretation.
    Type: Application
    Filed: July 22, 2021
    Publication date: November 11, 2021
    Applicant: SoundHound, Inc.
    Inventors: Kamyar Mohajer, Keyvan Mohajer, Bernard Mont-Reynaud, Pranav Singh
  • Patent number: 11144731
    Abstract: A platform provides for developers of applications, such as devices, with natural language interfaces to configure the availability of vertical domain modules in applications. Modules can include grammars for parsing natural language expressions and interfaces to data sources. Third party developers can create modules with pricing models for their usage or access to their data. Device developers can browse or search available modules and test their performance for specific queries. The platform provides for devices users to access the chosen modules as configured by device developers and for charging and payment between users, application developers, and module developers.
    Type: Grant
    Filed: September 11, 2018
    Date of Patent: October 12, 2021
    Assignee: SoundHound, Inc.
    Inventors: Pranav Singh, Keyvan Mohajer, Kamyar Mohajer, Bernard Mont-Reynaud
  • Publication number: 20210285042
    Abstract: An allelic position variant calling method using a prior genotype probability at the allelic position is provided. A strand specific base count set in forward and reverse directions for the allelic position is obtained, using strand orientation and identity of a respective base at the allelic position in each respective nucleic acid fragment sequence that maps to the allelic position, where bases at the allelic position whose identity can be affected by conversion of cytosine to uracil do not contribute to the strand specific base count set. Respective forward and reverse strand conditional probabilities are computed for each candidate genotype for the allelic position using the strand specific base count set and sequencing error estimate. Likelihoods are computed using a combination of these conditional probabilities and the prior genotype probability. From this, a determination is made as to whether the likelihoods support a variant call at the allelic position.
    Type: Application
    Filed: February 25, 2021
    Publication date: September 16, 2021
    Inventors: Pranav Singh, Christopher Chang, Collin Melton, Oliver Claude Venn
  • Publication number: 20210073199
    Abstract: Systems and methods are provided for systematically finding and fixing automatic speech recognition (ASR) mistranscriptions and natural language understanding (NLU) misinterpretations and labeling data for machine learning. High similarity of non-identical consecutive queries indicates ASR mistranscriptions. Consecutive queries with close vectors in a semantic embedding space indicates NLU misinterpretations. Key phrases and barge-in also indicate errors. Only queries within a short amount of time are considered.
    Type: Application
    Filed: September 5, 2019
    Publication date: March 11, 2021
    Applicant: SoundHound, Inc.
    Inventors: Olivia Bettaglio, Pranav Singh
  • Patent number: 10599645
    Abstract: A speech recognition and natural language understanding system performs insertion, deletion, and replacement edits of tokens at positions with low probabilities according to both a forward and a backward statistical language model (SLM) to produce rewritten token sequences. Multiple rewrites can be produced with scores depending on the probabilities of tokens according to the SLMs. The rewritten token sequences can be parsed according to natural language grammars to produce further weighted scores. Token sequences can be rewritten iteratively using a graph-based search algorithm to find the best rewrite. Mappings of input token sequences to rewritten token sequences can be stored in a cache, and searching for a best rewrite can be bypassed by using cached rewrites when present. Analysis of various initial token sequences that produce the same new rewritten token sequence can be useful to improve natural language grammars.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: March 24, 2020
    Assignee: SoundHound, Inc.
    Inventors: Luke Lefebure, Pranav Singh
  • Publication number: 20190163743
    Abstract: A method of determining a count of occurrences of concepts within regions is provided. The method includes receiving natural language expressions, each expression being uttered by a person located at a different geolocation, receiving geolocation information of each person having uttered the natural language expressions and associating the geolocation information of each person with a corresponding natural language expression and for each natural language expression: parsing the natural language expression to create an interpretation, deriving concepts, and recording, in a database, concepts, geolocation, and associations of the concepts and geolocations; and accumulating, for each region, a count of occurrences of each concept having an associated geolocation within the region.
    Type: Application
    Filed: January 9, 2019
    Publication date: May 30, 2019
    Applicant: SoundHound, Inc.
    Inventors: Kheng KHOV, Pranav SINGH, Bernard MONT-REYNAUD, Jonah PROBELL
  • Patent number: 10296586
    Abstract: An accurate thought map is created by recording people's many utterances of natural language expressions together with the location at which each expression was made. The expressions are input into a Natural Language Understanding system including a semantic parser, and the resulting interpretations stored in a database with the geolocation of the speaker. Emotions, concepts, time, user identification, and other interesting information may also be detected and stored. Interpretations of related expressions may be linked in the database. The database may be indexed and filtered according to multiple aspects of interpretations such as geolocation ranges, time ranges or other criteria, and analyzed according to multiple algorithms. The analyzed results may be used to render map displays, determine effective locations for advertisements, preemptively fetch information for users of mobile devices, and predict the behavior of individuals and groups of people.
    Type: Grant
    Filed: February 6, 2017
    Date of Patent: May 21, 2019
    Assignee: SoundHound, Inc.
    Inventors: Pranav Singh, Bernard Mont-Reynaud, Kheng Khov, Jonah Probell
  • Publication number: 20190138602
    Abstract: A method of predicting a person's interests is provided. The method includes receiving geolocation information about a user location, reading, from a database of interpretations, at least one interpretation of an expression made in close proximity to the location, reading, from a database of ad bids, a plurality of ad bids comprising interpretations, comparing the interpretation from the database to the interpretations of the ad bids to select a most valuable ad bid having an interpretation that matches the interpretation of an expression made in close proximity to the location, and presenting an ad associated with the most valuable ad bid, wherein the interpretation is from a natural language expression.
    Type: Application
    Filed: January 2, 2019
    Publication date: May 9, 2019
    Applicant: SoundHound, Inc.
    Inventors: Kheng KHOV, Pranav SINGH, Bernard MONT-REYNAUD, Jonah PROBELL
  • Publication number: 20190108257
    Abstract: A speech recognition and natural language understanding system performs insertion, deletion, and replacement edits of tokens at positions with low probabilities according to both a forward and a backward statistical language model (SLM) to produce rewritten token sequences. Multiple rewrites can be produced with scores depending on the probabilities of tokens according to the SLMs. The rewritten token sequences can be parsed according to natural language grammars to produce further weighted scores. Token sequences can be rewritten iteratively using a graph-based search algorithm to find the best rewrite. Mappings of input token sequences to rewritten token sequences can be stored in a cache, and searching for a best rewrite can be bypassed by using cached rewrites when present. Analysis of various initial token sequences that produce the same new rewritten token sequence can be useful to improve natural language grammars.
    Type: Application
    Filed: October 6, 2017
    Publication date: April 11, 2019
    Inventors: Luke Lefebure, Pranav Singh
  • Publication number: 20190012311
    Abstract: A platform provides for developers of applications, such as devices, with natural language interfaces to configure the availability of vertical domain modules in applications. Modules can include grammars for parsing natural language expressions and interfaces to data sources. Third party developers can create modules with pricing models for their usage or access to their data. Device developers can browse or search available modules and test their performance for specific queries. The platform provides for devices users to access the chosen modules as configured by device developers and for charging and payment between users, application developers, and module developers.
    Type: Application
    Filed: September 11, 2018
    Publication date: January 10, 2019
    Applicant: SoundHound, Inc.
    Inventors: Pranav Singh, Keyvan Mohajer, Kamyar Mohajer, Bernard Mont-Reynaud
  • Patent number: 10102201
    Abstract: The present invention extends to methods, systems, and computer program products for a natural language module store. In general, the invention can be used to manage natural language modules offered through a natural language module store. Natural language module (NLM) developers can post NLMs at a NLM store to make the NLMs available for use by others. Developers can select NLMs for inclusion in natural language interpreters (NLIs) containing (and possibly integrating the functionality of) one or more NLMs. Prior to selecting a NLM, a developer can search or browse NLMs to identify an appropriate NLM. Optionally, a developer can test a NLM in the NLM store prior to inclusion in an NLI. For example, multiple NLMs purporting to provide the same specified natural language functionality can be tested relative to one another prior to selection of one of the NLMs for inclusion in an NLI.
    Type: Grant
    Filed: November 30, 2015
    Date of Patent: October 16, 2018
    Assignee: SoundHound, Inc.
    Inventors: Keyvan Mohajer, Kamyar Mohajer, Bernard Mont-Reynaud, Pranav Singh