Patents by Inventor Cyril Georges Luc Allauzen

Cyril Georges Luc Allauzen 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).

  • Patent number: 9824682
    Abstract: A method, apparatus and machine-readable medium are provided. A phonotactic grammar is utilized to perform speech recognition on received speech and to generate a phoneme lattice. A document shortlist is generated based on using the phoneme lattice to query an index. A grammar is generated from the document shortlist. Data for each of at least one input field is identified based on the received speech and the generated grammar.
    Type: Grant
    Filed: October 19, 2015
    Date of Patent: November 21, 2017
    Assignee: Nuance Communications, Inc.
    Inventors: Cyril Georges Luc Allauzen, Sarangarajan Parthasarathy
  • Patent number: 9495127
    Abstract: Methods, computer program products and systems are described for converting speech to text. Sound information is received at a computer server system from an electronic device, where the sound information is from a user of the electronic device. A context identifier indicates a context within which the user provided the sound information. The context identifier is used to select, from among multiple language models, a language model appropriate for the context. Speech in the sound information is converted to text using the selected language model. The text is provided for use by the electronic device.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: November 15, 2016
    Assignee: Google Inc.
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen
  • Patent number: 9483459
    Abstract: A system is configured to receive a first string corresponding to an interpretation of a natural-language user voice entry; provide a representation of the first string as feedback to the natural-language user voice entry; receive, based on the feedback, a second string corresponding to a natural-language corrective user entry, where the natural-language corrective user entry may correspond to a correction to the natural-language user voice entry; parse the second string into one or more tokens; determine at least one corrective instruction from the one or more tokens of the second string; generate, from at least a portion of each of the first and second strings and based on the at least one corrective instruction, candidate corrected user entries; select a corrected user entry from the candidate corrected user entries; and output the selected, corrected user entry.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: November 1, 2016
    Assignee: Google Inc.
    Inventors: Michael D Riley, Johan Schalkwyk, Cyril Georges Luc Allauzen, Ciprian Ioan Chelba, Edward Oscar Benson
  • Patent number: 9460088
    Abstract: An automatic speech recognition system and method are provided for written-domain language modeling.
    Type: Grant
    Filed: May 31, 2013
    Date of Patent: October 4, 2016
    Assignee: Google Inc.
    Inventors: Hasim Sak, Yun-hsuan Sung, Cyril Georges Luc Allauzen
  • Patent number: 9424835
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing statistical unit selection language modeling based on acoustic fingerprinting. The methods, systems and apparatus include the actions of obtaining a unit database of acoustic units and, for each acoustic unit, linguistic data corresponding to the acoustic unit; obtaining stored data associating each acoustic unit with (i) a corresponding acoustic fingerprint and (ii) a probability of the linguistic data corresponding to the acoustic unit occurring in a text corpus; determining that the unit database of acoustic units has been updated to include one or more new acoustic units; for each new acoustic unit in the updated unit database: generating an acoustic fingerprint for the new acoustic unit; identifying an acoustic unit that (i) has an acoustic fingerprint that is indicated as similar to the fingerprint of the new acoustic unit, and (ii) has a stored associated probability.
    Type: Grant
    Filed: September 10, 2015
    Date of Patent: August 23, 2016
    Assignee: Google Inc.
    Inventors: Alexander Gutkin, Javier Gonzalvo Fructuoso, Cyril Georges Luc Allauzen
  • Publication number: 20160093295
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing statistical unit selection language modeling based on acoustic fingerprinting. The methods, systems and apparatus include the actions of obtaining a unit database of acoustic units and, for each acoustic unit, linguistic data corresponding to the acoustic unit; obtaining stored data associating each acoustic unit with (i) a corresponding acoustic fingerprint and (ii) a probability of the linguistic data corresponding to the acoustic unit occurring in a text corpus; determining that the unit database of acoustic units has been updated to include one or more new acoustic units; for each new acoustic unit in the updated unit database: generating an acoustic fingerprint for the new acoustic unit; identifying an acoustic unit that (i) has an acoustic fingerprint that is indicated as similar to the fingerprint of the new acoustic unit, and (ii) has a stored associated probability.
    Type: Application
    Filed: September 10, 2015
    Publication date: March 31, 2016
    Inventors: Alexander Gutkin, Javier Gonzalvo Fructuoso, Cyril Georges Luc Allauzen
  • Publication number: 20160042732
    Abstract: A method, apparatus and machine-readable medium are provided. A phonotactic grammar is utilized to perform speech recognition on received speech and to generate a phoneme lattice. A document shortlist is generated based on using the phoneme lattice to query an index. A grammar is generated from the document shortlist. Data for each of at least one input field is identified based on the received speech and the generated grammar.
    Type: Application
    Filed: October 19, 2015
    Publication date: February 11, 2016
    Inventors: Cyril Georges Luc ALLAUZEN, Sarangarajan PARTHASARATHY
  • Patent number: 9208779
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating a static language model from a mixture of n-gram language models. One of the methods includes receiving a set of development sentences W, receiving a set of language models GM, determining a set of n-gram language model weights ?M based on the development sentences W and the set of language models GM, determining a set of sentence cluster weights ?C, each of the sentence cluster weights corresponding to a cluster in a set of sentence clusters, each cluster in the set of sentence clusters associated with at least one sentence from the set of development sentences W, and generating a language model from the set of language models GM, the set of n-gram language model weights ?M, the set of sentence clusters, and the set of sentence cluster weights ?C.
    Type: Grant
    Filed: September 6, 2013
    Date of Patent: December 8, 2015
    Assignee: Google Inc.
    Inventors: Hasim Sak, Cyril Georges Luc Allauzen
  • Patent number: 9190054
    Abstract: A data processing apparatus is configured to receive a first string related to a natural-language voice user entry and a second string including at least one natural-language refinement to the user entry; parse the first string into a first set of one or more tokens and the second string into a second set of one or more tokens; determine at least one refining instruction from the second set of one or more tokens; generate, from at least a portion of each of the first string and the second string and based on the at least one refining instruction, a group of candidate refined user entries; select a refined user entry from the group of candidate refined user entries; and output the selected, refined user entry.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: November 17, 2015
    Assignee: Google Inc.
    Inventors: Michael D Riley, Johan Schalkwyk, Cyril Georges Luc Allauzen, Ciprian Ioan Chelba, Edward Oscar Benson
  • Patent number: 9165554
    Abstract: A method, apparatus and machine-readable medium are provided. A phonotactic grammar is utilized to perform speech recognition on received speech and to generate a phoneme lattice. A document shortlist is generated based on using the phoneme lattice to query an index. A grammar is generated from the document shortlist. Data for each of at least one input field is identified based on the received speech and the generated grammar.
    Type: Grant
    Filed: December 4, 2014
    Date of Patent: October 20, 2015
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Cyril Georges Luc Allauzen, Sarangarajan Parthasarathy
  • Patent number: 9047870
    Abstract: Methods, computer program products and systems are described for speech-to-text conversion. A voice input is received from a user of an electronic device and contextual metadata is received that describes a context of the electronic device at a time when the voice input is received. Multiple base language models are identified, where each base language model corresponds to a distinct textual corpus of content. Using the contextual metadata, an interpolated language model is generated based on contributions from the base language models. The contributions are weighted according to a weighting for each of the base language models. The interpolated language model is used to convert the received voice input to a textual output. The voice input is received at a computer server system that is remote to the electronic device. The textual output is transmitted to the electronic device.
    Type: Grant
    Filed: September 29, 2011
    Date of Patent: June 2, 2015
    Assignee: Google Inc.
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen, Michael D. Riley
  • Publication number: 20150088510
    Abstract: A method, apparatus and machine-readable medium are provided. A phonotactic grammar is utilized to perform speech recognition on received speech and to generate a phoneme lattice. A document shortlist is generated based on using the phoneme lattice to query an index. A grammar is generated from the document shortlist. Data for each of at least one input field is identified based on the received speech and the generated grammar.
    Type: Application
    Filed: December 4, 2014
    Publication date: March 26, 2015
    Inventors: Cyril Georges Luc ALLAUZEN, Sarangarajan PARTHASARATHY
  • Publication number: 20150073788
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating a static language model from a mixture of n-gram language models. One of the methods includes receiving a set of development sentences W, receiving a set of language models GM, determining a set of n-gram language model weights ?M based on the development sentences W and the set of language models GM, determining a set of sentence cluster weights ?C, each of the sentence cluster weights corresponding to a cluster in a set of sentence clusters, each cluster in the set of sentence clusters associated with at least one sentence from the set of development sentences W, and generating a language model from the set of language models GM, the set of n-gram language model weights ?M, the set of sentence clusters, and the set of sentence cluster weights ?C.
    Type: Application
    Filed: September 6, 2013
    Publication date: March 12, 2015
    Applicant: Google Inc.
    Inventors: Hasim Sak, Cyril Georges Luc Allauzen
  • Patent number: 8924212
    Abstract: A method, apparatus and machine-readable medium are provided. A phonotactic grammar is utilized to perform speech recognition on received speech and to generate a phoneme lattice. A document shortlist is generated based on using the phoneme lattice to query an index. A grammar is generated from the document shortlist. Data for each of at least one input field is identified based on the received speech and the generated grammar.
    Type: Grant
    Filed: August 26, 2005
    Date of Patent: December 30, 2014
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Cyril Georges Luc Allauzen, Sarangarajan Parthasarathy
  • Publication number: 20120022867
    Abstract: Methods, computer program products and systems are described for speech-to-text conversion. A voice input is received from a user of an electronic device and contextual metadata is received that describes a context of the electronic device at a time when the voice input is received. Multiple base language models are identified, where each base language model corresponds to a distinct textual corpus of content. Using the contextual metadata, an interpolated language model is generated based on contributions from the base language models. The contributions are weighted according to a weighting for each of the base language models. The interpolated language model is used to convert the received voice input to a textual output. The voice input is received at a computer server system that is remote to the electronic device. The textual output is transmitted to the electronic device.
    Type: Application
    Filed: September 29, 2011
    Publication date: January 26, 2012
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen, Michael D. Riley
  • Publication number: 20120022866
    Abstract: Methods, computer program products and systems are described for converting speech to text. Sound information is received at a computer server system from an electronic device, where the sound information is from a user of the electronic device. A context identifier indicates a context within which the user provided the sound information. The context identifier is used to select, from among multiple language models, a language model appropriate for the context. Speech in the sound information is converted to text using the selected language model. The text is provided for use by the electronic device.
    Type: Application
    Filed: September 29, 2011
    Publication date: January 26, 2012
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen
  • Publication number: 20120022873
    Abstract: Methods, computer program products and systems are described for forming a speech recognition language model. Multiple query-website relationships are determined by identifying websites that are determined to be relevant to queries using one or more search engines. Clusters are identified in the query-website relationships by connecting common queries and connecting common websites. A speech recognition language model is created for a particular website based on at least one of analyzing at queries in a cluster that includes the website or analyzing webpage content of web pages in the cluster that includes the website.
    Type: Application
    Filed: September 29, 2011
    Publication date: January 26, 2012
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen
  • Publication number: 20110161080
    Abstract: Methods, computer program products and systems are described for speech-to-text conversion. A voice input is received from a user of an electronic device and contextual metadata is received that describes a context of the electronic device at a time when the voice input is received. Multiple base language models are identified, where each base language model corresponds to a distinct textual corpus of content. Using the contextual metadata, an interpolated language model is generated based on contributions from the base language models. The contributions are weighted according to a weighting for each of the base language models. The interpolated language model is used to convert the received voice input to a textual output. The voice input is received at a computer server system that is remote to the electronic device. The textual output is transmitted to the electronic device.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 30, 2011
    Applicant: GOOGLE INC.
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen, Michael D. Riley
  • Publication number: 20110161081
    Abstract: Methods, computer program products and systems are described for forming a speech recognition language model. Multiple query-website relationships are determined by identifying websites that are determined to be relevant to queries using one or more search engines. Clusters are identified in the query-website relationships by connecting common queries and connecting common websites. A speech recognition language model is created for a particular website based on at least one of analyzing at queries in a cluster that includes the website or analyzing webpage content of web pages in the cluster that includes the website.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 30, 2011
    Applicant: GOOGLE INC.
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen
  • Publication number: 20110153324
    Abstract: Methods, computer program products and systems are described for converting speech to text. Sound information is received at a computer server system from an electronic device, where the sound information is from a user of the electronic device. A context identifier indicates a context within which the user provided the sound information. The context identifier is used to select, from among multiple language models, a language model appropriate for the context. Speech in the sound information is converted to text using the selected language model. The text is provided for use by the electronic device.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 23, 2011
    Applicant: GOOGLE INC.
    Inventors: Brandon M. Ballinger, Johan Schalkwyk, Michael H. Cohen, Cyril Georges Luc Allauzen