Patents by Inventor Satyanarayana Dharanipragada
Satyanarayana Dharanipragada 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: 8229744Abstract: A method, system, and computer program for class detection and time mediated averaging of class dependent models. A technique is described to take advantage of gender information in training data and how obtain female, male, and gender independent models from this information. By using a probability value to average male and female Gaussian Mixture Models (GMMs), dramatic deterioration in cross gender decoding performance is avoided.Type: GrantFiled: August 26, 2003Date of Patent: July 24, 2012Assignee: Nuance Communications, Inc.Inventors: Satyanarayana Dharanipragada, Peder A. Olsen
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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: 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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Patent number: 7523034Abstract: Methods and arrangements for enhancing speech recognition in noisy environments, via providing at least one initial Compound Gaussian Mixture model, applying an adaptation algorithm to at least one item associated with speech enrollment data and to the at least one initial Compound Gaussian Mixture model to yield an intermediate output, and mathematically combining the at least one initial Compound Gaussian Mixture model with the intermediate output to yield an adapted Compound Gaussian Mixture model.Type: GrantFiled: December 13, 2002Date of Patent: April 21, 2009Assignee: International Business Machines CorporationInventors: Sabine V. Deligne, Satyanarayana Dharanipragada
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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: 7225124Abstract: A technique for separating a signal associated with a first source from a mixture of the first source signal and a signal associated with a second source comprises the following steps/operations. First, two signals respectively representative of two mixtures of the first source signal and the second source signal are obtained. Then, the first source signal is separated from the mixture in a non-linear signal domain using the two mixture signals and at least one known statistical property associated with the first source and the second source, and without a need to use a reference signal.Type: GrantFiled: December 10, 2002Date of Patent: May 29, 2007Assignee: International Business Machines CorporationInventors: Sabine V. Deligne, Satyanarayana Dharanipragada
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Publication number: 20060293901Abstract: 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: August 24, 2006Publication date: December 28, 2006Applicant: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Michael Monkowski, Harry 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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Publication number: 20050049872Abstract: A method, system, and computer program for class detection and time mediated averaging of class dependent models. A technique is described to take advantage of gender information in training data and how obtain female, male, and gender independent models from this information. By using a probability value to average male and female Gaussian Mixture Models (GMMs), dramatic deterioration in cross gender decoding performance is avoided.Type: ApplicationFiled: August 26, 2003Publication date: March 3, 2005Inventors: Satyanarayana Dharanipragada, Peder Olsen
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Patent number: 6810116Abstract: A multi-channel telephone data collection, collaboration and conferencing system for use with a plurality of telephone channels, the telephone channels being interconnected to facilitate a conference call between a plurality of telephone conferencing devices, the system comprising: a call processor having at least two telephone conferencing device input/output ports connected to the processor and to the plurality of telephone conferencing devices, the call processor generates an audio signal corresponding to each of the plurality of telephone conferencing devices connected to the telephone input/output ports; an audio saving module, connected to the call processor, that converts the audio signal corresponding to each of the plurality of telephone conferencing devices to a digital signal; a memory device that stores the digital signals corresponding to each conference device; an audio switch, connected to the call processor and the memory device, that has a plurality of audio inputs corresponding to each of thType: GrantFiled: September 12, 2000Date of Patent: October 26, 2004Assignee: International Business Machines CorporationInventors: Jeffrey Scott Sorensen, Satyanarayana Dharanipragada, Borivoj Tydlitat
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Publication number: 20040117183Abstract: Methods and arrangementgs for enhancing speech recognition in noisy environments, via providing providing at least one initial Compound Gaussian Mixture model, applying an adaptation algorithm to at least one item associated with speech enrollment data and to the at least one initial Compound Gaussian Mixture model to yield an intermediate output, and mathematically combining the at least one initial Compound Gaussian Mixture model with the intermediate output to yield an adapted Compound Gaussian Mixture model.Type: ApplicationFiled: December 13, 2002Publication date: June 17, 2004Applicant: IBM CorporationInventors: Sabine V. Deligne, Satyanarayana Dharanipragada
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Publication number: 20040111260Abstract: A technique for separating a signal associated with a first source from a mixture of the first source signal and a signal associated with a second source comprises the following steps/operations. First, two signals respectively representative of two mixtures of the first source signal and the second source signal are obtained. Then, the first source signal is separated from the mixture in a non-linear signal domain using the two mixture signals and at least one known statistical property associated with the first source and the second source, and without a need to use a reference signal.Type: ApplicationFiled: December 10, 2002Publication date: June 10, 2004Applicant: International Business Machines CorporationInventors: Sabine V. Deligne, Satyanarayana Dharanipragada
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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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Publication number: 20030144839Abstract: There is provided a method for extracting feature vectors from a digitized utterance. Spectral envelope estimates are computed from overlapping frames in the digitized utterance based on a Minimum Variance Distortionless Response (MVDR) method. Cepstral feature vectors are generated from the spectral envelope estimates. There is provided a method for generating spectral envelope estimates from a digitized utterance. The spectral envelope estimates are generated from overlapping frames in the digitized utterance based on a harmonic mean of at least two low- to-high resolution spectrum estimates. There is provided a method for reducing variance of a feature stream in a pattern recognition system. The feature stream is temporally or spatially averaged to reduce the variance of the feature stream.Type: ApplicationFiled: January 31, 2002Publication date: July 31, 2003Inventors: Satyanarayana Dharanipragada, Bhaskar Dharanipragada Rao
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Patent number: 6470314Abstract: A method of adapting a speech recognition system to one or more acoustic conditions comprises the steps of: (i) computing cumulative distribution functions based on dimensions of speech vectors associated with training speech data provided to the speech recognition system; (ii) computing cumulative distribution functions based on dimensions of speech vectors associated with test speech data provided to the speech recognition system; (iii) computing a nonlinear transformation mapping based on the cumulative distribution functions associated with the training speech data and the cumulative distribution functions associated with the test speech data; and (iv) applying the nonlinear transformation mapping to speech vectors associated with the test speech data prior to recognition, wherein the speech vectors transformed in accordance with the nonlinear transformation mapping are substantially similar to speech vectors associated with the training speech data.Type: GrantFiled: April 6, 2000Date of Patent: October 22, 2002Assignee: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Mukund Padmanabhan
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Patent number: 6073095Abstract: A fast vocabulary independent method for spotting words in speech utilizes a preprocessing step and a coarse-to-detailed search strategy for spotting a word/phone sequence in speech. The preprocessing includes a Viterbi-beam phone level decoding using a tree-based phone language model. The coarse search matches phone-ngrams to identify regions of speech as putative word hits, and the detailed search performs an acoustic match at the putative hits with a model of the given word included in the vocabulary of the recognizer.Type: GrantFiled: October 15, 1997Date of Patent: June 6, 2000Assignee: International Business Machines CorporationInventors: Satyanarayana Dharanipragada, Ellen Marie Eide, Salim Estephan Roukos