Patents by Inventor Michael Daniel Monkowski
Michael Daniel Monkowski 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).
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Patent number: 7853449Abstract: Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.Type: GrantFiled: March 28, 2008Date of Patent: December 14, 2010Assignee: Nuance Communications, Inc.Inventors: Satyanarayana Dharanipragada, Michael Daniel Monkowski, Harry W. Printz, Karthik Visweswariah
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Patent number: 7801727Abstract: A method for generating a language component vocabulary VC for a speech recognition system having a language vocabulary V of a plurality of word forms is disclosed. The method includes: partitioning the language vocabulary V into subsets of word forms based on frequencies of occurrence of the respective word forms; and in at least one of the subsets, splitting word forms having frequencies less than a threshold to thereby generate word form components. Also disclosed is a method for use in speech recognition including: splitting an acoustic vocabulary comprising baseforms into baseform components and storing the baseform components; and, performing sound to spelling mapping on the baseform components so as to generate a baseform components to word parts table for use in subsequent decoding of speech.Type: GrantFiled: February 24, 2005Date of Patent: September 21, 2010Assignee: Nuance Communications, Inc.Inventors: Ponani Gopalakrishnan, Dimitri Kanevsky, Michael Daniel Monkowski, Jan Sedivy
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Patent number: 7542901Abstract: Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.Type: GrantFiled: August 24, 2006Date of Patent: June 2, 2009Assignee: Nuance Communications, Inc.Inventors: Satyanarayana Dharanipragada, Michael Daniel Monkowski, Harry W. Printz, Karthik Visweswariah
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Publication number: 20080215329Abstract: Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.Type: ApplicationFiled: March 28, 2008Publication date: September 4, 2008Applicant: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Michael Daniel Monkowski, Harry W. Printz, Karthik Visweswariah
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Patent number: 7143035Abstract: Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.Type: GrantFiled: March 27, 2002Date of Patent: November 28, 2006Assignee: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Michael Daniel Monkowski, Harry W. Printz, Karthik Visweswariah
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Patent number: 6928404Abstract: Systems and methods are provided for generating a language component vocabulary VC for a speech recognition system having a language vocabulary V of a plurality of word forms. One method for generating a language component vocabulary VC for a speech recognition system having a language vocabulary V of a plurality of word forms includes partitioning the language vocabulary V into subsets of word forms based on frequencies of occurrence of the respective word forms, in at least one the subsets, splitting word forms having frequencies less than a threshold to thereby generate word form components and generating a language component vocabulary VC including word forms and word form components. The resulting language component vocabulary, which includes word forms and word components, is used to generate a language model that can be efficiently implemented for real-time automatic speech recognition applications for languages with large vocabularies.Type: GrantFiled: March 17, 1999Date of Patent: August 9, 2005Assignee: International Business Machines CorporationInventors: Ponani Gopalakrishnan, Dimitri Kanevsky, Michael Daniel Monkowski, Jan Sedivy
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Publication number: 20030187648Abstract: Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.Type: ApplicationFiled: March 27, 2002Publication date: October 2, 2003Applicant: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Michael Daniel Monkowski, Harry W. Printz, Karthik Visweswariah
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Patent number: 6269335Abstract: A method of identifying homophones of a word uttered by a user from at least a portion of existing words of a vocabulary of a speech recognition engine comprises the steps of: a user uttering the word; decoding the uttered word; computing respective measures between the decoded word and at least a portion of the other existing vocabulary words, the respective measures indicative of acoustic similarity between the word and the at least a portion of other existing words; if at least one measure is within a threshold range, indicating, to the user, results associated with the at least one measure, the results preferably including the decoded word and the other existing vocabulary word associated with the at least one measure; and the user preferably making a selection depending on the word the user intended to utter.Type: GrantFiled: August 14, 1998Date of Patent: July 31, 2001Assignee: International Business Machines CorporationInventors: Abraham Ittycheriah, Stephane Herman Maes, Michael Daniel Monkowski, Jeffrey Scott Sorensen
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Patent number: 6073091Abstract: A method of forming a language model for a language having a selected vocabulary of word forms comprises: (a) mapping the word forms into integer vectors in accordance with frequencies of word form occurrence; (b) partitioning the integer vectors into subsets, the subsets respectively having ranges of frequencies of word form occurrence associated therewith, the subsets being arranged in a descending order of frequency ranges; (c) respectively assigning maps to the subsets; (d) filtering a textual corpora using the maps assigned to the subsets in order to generate indexed integers; (e) determining n-gram statistics for the indexed integers; and (f) estimating n-gram language model probabilities from the n-gram statistics to form the language model.Type: GrantFiled: August 6, 1997Date of Patent: June 6, 2000Assignee: International Business Machines CorporationInventors: Dimitri Kanevsky, Michael Daniel Monkowski, Jan Sedivy
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Patent number: 5864805Abstract: A continuous speech recognition system has the ability to correct errors in strings of words. The error correction method stores data in the system's internal state to update probability tables used in developing alternative lists for substitution in misrecognized text.Type: GrantFiled: December 20, 1996Date of Patent: January 26, 1999Assignee: International Business Machines CorporationInventors: Chengjun Julian Chen, Liam David Comerford, Catalina Maria Danis, Satya Dharanipragada, Michael Daniel Monkowski, Peder Andreas Olsen, Michael Alan Picheny
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Patent number: 5751905Abstract: A method and apparatus for acoustic signal processing of speech recognition, the method comprising the following components: 1) Decompose each syllable into two phonemes of comparable length and complexity, the first one being a preme, and the second one being a toneme; 2) Each toneme is assigned a tone value such as high, rising, low, falling, and untoned; 3) No tone value is assigned to premes; 4) Pitch is detected continuously and treated the same way as energy and cepstrals in a Hidden Markov Model to predict the tone of a toneme; 5) The tone of a syllable is defined as the tone of its component toneme.Type: GrantFiled: March 15, 1995Date of Patent: May 12, 1998Assignee: International Business Machines CorporationInventors: Chengjun Julian Chen, Ramesh Ambat Gopinath, Michael Daniel Monkowski, Michael Alan Picheny