Patents by Inventor Allen Louis Gorin

Allen Louis Gorin 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: 9792905
    Abstract: An apparatus, a method, and a machine-readable medium are provided for characterizing differences between two language models. A group of utterances from each of a group of time domains are examined. One of a significant word change or a significant word class change within the plurality of utterances is determined. A first cluster of utterances including a word or a word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances. A second cluster of utterances not including the word or the word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: October 17, 2017
    Assignee: Nuance Communications, Inc.
    Inventors: Allen Louis Gorin, John Grothendieck, Jeremy Huntley Greet Wright
  • Patent number: 8990084
    Abstract: State-of-the-art speech recognition systems are trained using transcribed utterances, preparation of which is labor-intensive and time-consuming. The present invention is an iterative method for reducing the transcription effort for training in automatic speech recognition (ASR). Active learning aims at reducing the number of training examples to be labeled by automatically processing the unlabeled examples and then selecting the most informative ones with respect to a given cost function for a human to label. The method comprises automatically estimating a confidence score for each word of the utterance and exploiting the lattice output of a speech recognizer, which was trained on a small set of transcribed data. An utterance confidence score is computed based on these word confidence scores; then the utterances are selectively sampled to be transcribed using the utterance confidence scores.
    Type: Grant
    Filed: February 10, 2014
    Date of Patent: March 24, 2015
    Assignee: Interactions LLC
    Inventors: Allen Louis Gorin, Dilek Z. Hakkani-Tur, Guiseppe Riccardi
  • Publication number: 20150073791
    Abstract: An apparatus, a method, and a machine-readable medium are provided for characterizing differences between two language models. A group of utterances from each of a group of time domains are examined. One of a significant word change or a significant word class change within the plurality of utterances is determined. A first cluster of utterances including a word or a word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances. A second cluster of utterances not including the word or the word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances.
    Type: Application
    Filed: November 14, 2014
    Publication date: March 12, 2015
    Inventors: Allen Louis GORIN, John Grothendieck, Jeremy Huntley Greet Wright
  • Patent number: 8949127
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Grant
    Filed: February 17, 2014
    Date of Patent: February 3, 2015
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin
  • Patent number: 8892438
    Abstract: An apparatus, a method, and a machine-readable medium are provided for characterizing differences between two language models. A group of utterances from each of a group of time domains are examined. One of a significant word change or a significant word class change within the plurality of utterances is determined. A first cluster of utterances including a word or a word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances. A second cluster of utterances not including the word or the word class corresponding to the one of the significant word change or the significant word class change is generated from the utterances.
    Type: Grant
    Filed: September 14, 2010
    Date of Patent: November 18, 2014
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, John Grothendieck, Jeremy Huntley Greet Wright
  • Publication number: 20140163988
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Application
    Filed: February 17, 2014
    Publication date: June 12, 2014
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin
  • Publication number: 20140156275
    Abstract: State-of-the-art speech recognition systems are trained using transcribed utterances, preparation of which is labor-intensive and time-consuming. The present invention is an iterative method for reducing the transcription effort for training in automatic speech recognition (ASR). Active learning aims at reducing the number of training examples to be labeled by automatically processing the unlabeled examples and then selecting the most informative ones with respect to a given cost function for a human to label. The method comprises automatically estimating a confidence score for each word of the utterance and exploiting the lattice output of a speech recognizer, which was trained on a small set of transcribed data. An utterance confidence score is computed based on these word confidence scores; then the utterances are selectively sampled to be transcribed using the utterance confidence scores.
    Type: Application
    Filed: February 10, 2014
    Publication date: June 5, 2014
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dilek Z. Hakkani-Tur, Giuseppe Riccardi
  • Patent number: 8655658
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Grant
    Filed: October 25, 2011
    Date of Patent: February 18, 2014
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin
  • Patent number: 8650033
    Abstract: State-of-the-art speech recognition systems are trained using transcribed utterances, preparation of which is labor-intensive and time-consuming. The present invention is an iterative method for reducing the transcription effort for training in automatic speech recognition (ASR). Active learning aims at reducing the number of training examples to be labeled by automatically processing the unlabeled examples and then selecting the most informative ones with respect to a given cost function for a human to label. The method comprises automatically estimating a confidence score for each word of the utterance and exploiting the lattice output of a speech recognizer, which was trained on a small set of transcribed data. An utterance confidence score is computed based on these word confidence scores; then the utterances are selectively sampled to be transcribed using the utterance confidence scores.
    Type: Grant
    Filed: October 13, 2006
    Date of Patent: February 11, 2014
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dilek Z. Hakkani-Tur, Giuseppe Riccardi
  • Patent number: 8600747
    Abstract: A spoken dialog system and method having a dialog management module are disclosed. The dialog management module includes a plurality of dialog motivators for handling various operations during a spoken dialog. The dialog motivators comprise an error handling, disambiguation, assumption, confirmation, missing information, and continuation. The spoken dialog system uses the assumption dialog motivator in either a-priori or a-posteriori modes. A-priori assumption is based on predefined requirements for the call flow and a-posteriori assumption can work with the confirmation dialog motivator to assume the content of received user input and confirm received user input.
    Type: Grant
    Filed: June 17, 2008
    Date of Patent: December 3, 2013
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Alicia Abella, Allen Louis Gorin
  • Patent number: 8200491
    Abstract: In an embodiment, a lattice of phone strings in an input communication of a user may be recognized, wherein the lattice may represent a distribution over the phone strings. Morphemes in the input communication of the user may be detected using the recognized lattice. Task-type classification decisions may be made based on the detected morphemes in the input communication of the user.
    Type: Grant
    Filed: August 27, 2011
    Date of Patent: June 12, 2012
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dijana Petrovska-Delacretaz, Giuseppe Riccardi, Jeremy Huntley Wright
  • Patent number: 8170880
    Abstract: Systems and methods herein use an annotation guide to label utterances and speech data with a call type. A system practicing the method embodiment monitors labelers of speech data by presenting via a processor a test utterance to a labeler, receiving input from the labeler that selects a particular call type from a list of call types and determining via the processor if the labeler labeled the test utterance correctly. Based on the determining step, the system revises the annotation guide, retrains the labeler, and/or alters the test utterance.
    Type: Grant
    Filed: May 3, 2010
    Date of Patent: May 1, 2012
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Lee Begeja, Richard Vandervoort Cox, Harris Drucker, David Crawford Gibbon, Allen Louis Gorin, Patrick Guy Haffner, Steven H. Lewis, Zhu Liu, Mazin G. Rahim, Bernard S. Renger, Behzad Shahraray
  • Patent number: 8144838
    Abstract: The invention concerns an automated task classification system that operates on a task objective of a user. The system may include a meaningful phrase generator that generates a plurality of meaningful phrases from a set of verbal and non-verbal speech. Each of the meaningful phrases may be generated based on one of a predetermined set of the task objectives. A recognizer may recognize at least one of the generated meaningful phrases in an input communication of the user and a task classifier may make a classification decision in response to the recognized meaningful phrases relating to one of the set of predetermined task objectives.
    Type: Grant
    Filed: March 23, 2009
    Date of Patent: March 27, 2012
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Barry Allen Parker, James B. Scherer, Jay Gordon Wilpon
  • Publication number: 20120041763
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Application
    Filed: October 25, 2011
    Publication date: February 16, 2012
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin
  • Patent number: 8095363
    Abstract: A method and system for monitoring an automated dialog system for the automatic recognition of language understanding errors based on a user's input communications in a task classification system. If the user's input communication cannot be understood and a task classification decision cannot be made, then further dialog may be conducted with the user if a probability of understanding the user's input communication exceeds a first threshold. Otherwise, the user may be directed to a human for assistance. In another possible embodiment, the method operates as above except that if the probability exceeds a second threshold, then further dialog may be conducted with the user using the current dialog strategy. However, if the probability falls between a first threshold and a second threshold, the dialog strategy may be adapted in order to improve the chances of conducting a successful dialog with the user.
    Type: Grant
    Filed: January 6, 2009
    Date of Patent: January 10, 2012
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Irene Langkilde Geary, Marilyn Ann Walker, Jeremy H. Wright
  • Publication number: 20110313769
    Abstract: In an embodiment, a lattice of phone strings in an input communication of a user may be recognized, wherein the lattice may represent a distribution over the phone strings. Morphemes in the input communication of the user may be detected using the recognized lattice. Task-type classification decisions may be made based on the detected morphemes in the input communication of the user.
    Type: Application
    Filed: August 27, 2011
    Publication date: December 22, 2011
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dijana Petrovska-Delacretaz, Giuseppe Riccardi, Jeremy Huntley Wright
  • Patent number: 8050925
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Grant
    Filed: November 5, 2009
    Date of Patent: November 1, 2011
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin
  • Patent number: 8010361
    Abstract: In an embodiment, a lattice of phone strings in an input communication of a user may be recognized, wherein the lattice may represent a distribution over the phone strings. Morphemes in the input communication of the user may be detected using the recognized lattice. Task-type classification decisions may be made based on the detected morphemes in the input communication of the user.
    Type: Grant
    Filed: July 30, 2008
    Date of Patent: August 30, 2011
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dijana Petrovska-Delacretaz, Giuseppe Riccardi, Jeremy Huntley Wright
  • Patent number: 7957971
    Abstract: Word lattices that are generated by an automatic speech recognition system are used to generate a modified word lattice that is usable by a spoken language understanding module. In one embodiment, the spoken language understanding module determines a set of salient phrases by calculating an intersection of the modified word lattice, which is optionally preprocessed, and a finite state machine that includes a plurality of salient grammar fragments.
    Type: Grant
    Filed: June 12, 2009
    Date of Patent: June 7, 2011
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Dilek Z. Hakkani-Tur, Giuseppe Riccardi, Gokhan Tur, Jeremy Huntley Wright
  • Patent number: 7957970
    Abstract: The invention concerns a system and method of predicting problematic dialogs in an automated dialog system based on the user's input communications. The method may include determining whether a probability of conducting a successful dialog with the user exceeds a first threshold. The successful dialog may be defined as a dialog exchange between an automated dialog system and the user that results in at least one of processing of the user's input communication and routing the user's input communication. The method may further operate such that if the first threshold is exceeded, further dialog is conducted with the user. Otherwise, the user may be directed to a human for assistance. In another possible embodiment, the method operates as above except that if the probability exceeds a second threshold, the second threshold being higher than the first, then further dialog is conducted with the user using the current dialog strategy.
    Type: Grant
    Filed: November 21, 2006
    Date of Patent: June 7, 2011
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: Allen Louis Gorin, Irene Langkilde Geary, Diane Judith Litman, Marilyn Ann Walker, Jeremy H. Wright