Patents by Inventor David M. Lubensky
David M. Lubensky 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: 8346556Abstract: Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.Type: GrantFiled: August 22, 2008Date of Patent: January 1, 2013Assignee: International Business Machines CorporationInventors: Osamuyimen T. Stewart, David M. Lubensky, Joyram Chakraborty
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Publication number: 20120310629Abstract: Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.Type: ApplicationFiled: August 10, 2012Publication date: December 6, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Osamuyimen T. Stewart, David M. Lubensky, Joyram Chakraborty
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Patent number: 8326622Abstract: The invention discloses a system and method for filling out a form from a dialog between a caller and a call center agent. The caller and the caller center agent can have the dialog in the form of telephone conversation, instant messaging chat or email exchange. The system and method provides a list of named entities specific to the call center operation and uses a translation and transcription minor to filter relevant elements from the dialog between the caller and the call center agent. The relevant elements filtered from the dialog are subsequently displayed on the call center agent's computer screen to fill out application forms automatically or through drag and drop operations by the call center agent.Type: GrantFiled: September 23, 2008Date of Patent: December 4, 2012Assignee: International Business Machines CorporationInventors: Carl Joseph Kraenzel, David M. Lubensky, Baiju Dhirajlal Mandalia
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Publication number: 20120136646Abstract: A method, computer system, and computer program product for translating information. The computer system receives the information for a translation. The computer system identifies portions of the information based on a set of rules for security for the information in response to receiving the information. The computer system sends the portions of the information to a plurality of translation systems. In response to receiving translation results from the plurality of translation systems for respective portions of the information, the computer system combines the translation results for the respective portions to form a consolidated translation of the information.Type: ApplicationFiled: November 30, 2010Publication date: May 31, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Carl J. Kraenzel, David M. Lubensky, Baiju Dhirajlal Mandalia, Cheng Wu
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Publication number: 20110069822Abstract: A call routing system is created by receiving a set of initial target classes and a corresponding set of topic descriptions. Non-overlapping semantic tokens in the set of topic descriptions are identified. A set of clear target classes from the non-overlapping semantic tokens and the initial target classes is identified. Overlapping semantic tokens from the set of topic descriptions are identified. A set of vague classes is identified from the overlapping semantic tokens and the initial target classes. A set of disambiguation dialogues and a set of grammar prompts is generated according to the overlapping and non-overlapping semantic tokens. The call routing system is then created based on the set of clear target classes, the set of vague target classes, and the set of disambiguation dialogues.Type: ApplicationFiled: September 24, 2009Publication date: March 24, 2011Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Ea-Ee Jan, Hong-Kwang Jeff Kuo, David M. Lubensky
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Publication number: 20100076760Abstract: The invention discloses a system and method for filling out a form from a dialog between a caller and a call center agent. The caller and the caller center agent can have the dialog in the form of telephone conversation, instant messaging chat or email exchange. The system and method provides a list of named entities specific to the call center operation and uses a translation and transcription minor to filter relevant elements from the dialog between the caller and the call center agent. The relevant elements filtered from the dialog are subsequently displayed on the call center agent's computer screen to fill out application forms automatically or through drag and drop operations by the call center agent.Type: ApplicationFiled: September 23, 2008Publication date: March 25, 2010Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Carl Joseph Kraenzel, Baiju Dhirajlal Mandalia, David M. Lubensky
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Patent number: 7680661Abstract: A method for speech recognition includes: prompting a user with a first query to input speech into a speech recognition engine; determining if the inputted speech is correctly recognized; wherein in the event the inputted speech is correctly recognized proceeding to a new task; wherein in the event the inputted speech is not correctly recognized, prompting the user repeatedly with the first query to input speech into the speech recognition engine, and determining if the inputted speech is correctly recognized until a predefined limit on repetitions has been met; wherein in the event the predefined limit has been met without correctly recognizing the inputted user speech, prompting speech input from the user with a secondary query for redundant information; and cross-referencing the user's n-best result from the first query with the n-best result from the second query to obtain a top hypothesis.Type: GrantFiled: May 14, 2008Date of Patent: March 16, 2010Assignee: Nuance Communications, Inc.Inventors: Raymond L. Co, Ea-Ee Jan, David M. Lubensky
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Publication number: 20100049520Abstract: Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.Type: ApplicationFiled: August 22, 2008Publication date: February 25, 2010Inventors: Osamuyimen T. Stewart, David M. Lubensky, Joyram Chakraborty
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Patent number: 7624014Abstract: A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database.Type: GrantFiled: September 8, 2008Date of Patent: November 24, 2009Assignee: Nuance Communications, Inc.Inventors: Osamuyimen T. Stewart, David M. Lubensky
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Publication number: 20090287483Abstract: A method for speech recognition includes: prompting a user with a first query to input speech into a speech recognition engine; determining if the inputted speech is correctly recognized; wherein in the event the inputted speech is correctly recognized proceeding to a new task; wherein in the event the inputted speech is not correctly recognized, prompting the user repeatedly with the first query to input speech into the speech recognition engine, and determining if the inputted speech is correctly recognized until a predefined limit on repetitions has been met; wherein in the event the predefined limit has been met without correctly recognizing the inputted user speech, prompting speech input from the user with a secondary query for redundant information; and cross-referencing the user's n-best result from the first query with the n-best result from the second query to obtain a top hypothesis.Type: ApplicationFiled: May 14, 2008Publication date: November 19, 2009Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Raymond L. Co, Ee-ee Jan, David M. Lubensky
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Patent number: 7558734Abstract: In one example, this invention presents a method of providing the same self-service content that is available on the web interface to users contacting by telephone, knowing that the web and telephone are fundamentally different user interfaces. In one embodiment, this patent seeks to protect the general idea of how to playback web data in real-time to the user over the speech interface. For this purpose, a method is presented comprising of the general steps through which the web data is initially sent to an automatic transformation module. Then, that transformation module refines or re-structures the web data to make it suitable for the speech interface. The algorithm in the module is predicated on the user interface principles of cognitive complexity and limitations on short term memory based on which FAQ types are classified into one of the following four classes: simple, medium, complex, and complex-complex.Type: GrantFiled: November 16, 2008Date of Patent: July 7, 2009Assignee: International Business Machines CorporationInventors: Osamuyimen T. Stewart, David M. Lubensky, Ea-Ee Jan, Xiang Li
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Publication number: 20090157405Abstract: A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database.Type: ApplicationFiled: September 8, 2008Publication date: June 18, 2009Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Osamuyimen T. Stewart, David M. Lubensky
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Patent number: 7487084Abstract: A testing arrangement provided for speech recognition systems in vehicles. Preferably included are a “mobile client” secured in the vehicle and driven around at a desired speed, an audio system and speaker which plays back a set of prerecorded utterances stored digitally in a computer arrangement such that the speech of a human being is simulated, transmission of the speech signal to a server, followed by speech recognition and signal-to-noise ratio (SNR) computation. Here, the acceptability of the vehicular speech recognition system is preferably determined via comparison with pre-specified standards of recognition accuracy and SNR values.Type: GrantFiled: July 31, 2002Date of Patent: February 3, 2009Assignee: International Business Machines CorporationInventors: Andrew Aaron, Subrata K. Das, David M. Lubensky
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Patent number: 7467090Abstract: In one example, this invention presents a method of providing the same self-service content that is available on the web interface to users contacting by telephone, knowing that the web and telephone are fundamentally different user interfaces. In one embodiment, this seeks to protect the general idea of how to playback web data in real-time to the user over the speech interface. For this purpose, a method is presented comprising of the general steps through which the web data is initially sent to an automatic transformation module. Then, that transformation module refines or re-structures the web data to make it suitable for the speech interface. The algorithm in the module is predicated on the user interface principles of cognitive complexity and limitations on short term memory based on which FAQ types are classified into one of the following four classes: simple, medium, complex, and complex-complex.Type: GrantFiled: February 27, 2008Date of Patent: December 16, 2008Assignee: International Business Machines CorporationInventors: Osamuyimen T. Stewart, David M. Lubensky, Ea-Ee Jan, Xiang Li
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Patent number: 7437707Abstract: Systems, methods and tools are provided for generating applications that are automatically optimized for efficient deployment in a computing environment based on parameterized criteria. In particular, systems, methods and tools for generating network applications are provided, which automatically partition a functional description of a network application into a set of application modules (e.g., pages) according to parameterized criteria that optimizes the network application for efficient network performance by minimizing application latency.Type: GrantFiled: December 12, 2003Date of Patent: October 14, 2008Assignee: International Business Machines CorporationInventors: Juan M. Huerta, David M. Lubensky, Chaitanya J. K. Ekanadham
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Patent number: 7437291Abstract: A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database.Type: GrantFiled: December 13, 2007Date of Patent: October 14, 2008Assignee: International Business Machines CorporationInventors: Osamuyimen T. Stewart, David M. Lubensky
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Patent number: 7269555Abstract: In a speech recognition system, a method of transforming speech feature vectors associated with speech data provided to the speech recognition system includes the steps of receiving likelihood of utterance information corresponding to a previous feature vector transformation, estimating one or more transformation parameters based, at least in part, on the likelihood of utterance information corresponding to a previous feature vector transformation, and transforming a current feature vector based on maximum likelihood criteria and/or the estimated transformation parameters, the transformation being performed in a linear spectral domain. The step of estimating the one or more transformation parameters includes the step of estimating convolutional noise Ni? and additive noise Ni? for each ith component of a speech vector corresponding to the speech data provided to the speech recognition system.Type: GrantFiled: August 30, 2005Date of Patent: September 11, 2007Assignee: International Business Machines CorporationInventors: Dongsuk Yuk, David M. Lubensky
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Patent number: 6999926Abstract: A maximum likelihood spectral transformation (MLST) technique is proposed for rapid speech recognition under mismatched training and testing conditions. Speech feature vectors of real-time utterances are transformed in a linear spectral domain such that a likelihood of the utterances is increased after the transformation. Cepstral vectors are computed from the transformed spectra. The MLST function used for the spectral transformation is configured to handle both convolutional and additive noise. Since the function has small number of parameters to be estimated, only a few utterances are required for accurate adaptation, thus essentially eliminating the need for training speech data. Furthermore, the computation for parameter estimation and spectral transformation can be done efficiently in linear time. Therefore, the techniques of the present invention are well-suited for rapid online adaptation.Type: GrantFiled: July 23, 2001Date of Patent: February 14, 2006Assignee: International Business Machines CorporationInventors: Dongsuk Yuk, David M. Lubensky
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Patent number: 6801604Abstract: Systems and methods for conversational computing and, in particular, to systems and methods for building distributed conversational applications using a Web services-based model wherein speech engines (e.g., speech recognition) and audio I/O systems are programmable services that can be asynchronously programmed by an application using a standard, extensible SERCP (speech engine remote control protocol), to thereby provide scalable and flexible IP-based architectures that enable deployment of the same application or application development environment across a wide range of voice processing platforms and networks/gateways (e.g., PSTN (public switched telephone network), Wireless, Internet, and VoIP (voice over IP)). Systems and methods are further provided for dynamically allocating, assigning, configuring and controlling speech resources such as speech engines, speech pre/post processing systems, audio subsystems, and exchanges between speech engines using SERCP in a web service-based framework.Type: GrantFiled: June 25, 2002Date of Patent: October 5, 2004Assignee: International Business Machines CorporationInventors: Stephane H. Maes, David M. Lubensky, Andrzej Sakrajda
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Publication number: 20030236672Abstract: A testing arrangement provided for speech recognition systems in vehicles. Preferably included are a “mobile client” secured in the vehicle and driven around at a desired speed, an audio system and speaker which plays back a set of prerecorded utterances stored digitally in a computer arrangement such that the speech of a human being is simulated, transmission of the speech signal to a server, followed by speech recognition and signal-to-noise ratio (SNR) computation. Here, the acceptability of the vehicular speech recognition system is preferably determined via comparison with pre-specified standards of recognition accuracy and SNR values.Type: ApplicationFiled: July 31, 2002Publication date: December 25, 2003Applicant: IBM CorporationInventors: Andrew Aaron, Subrata K. Das, David M. Lubensky