Patents by Inventor Michael A. Picheny
Michael A. Picheny 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: 11250872Abstract: Method, apparatus, and computer program product are provided for customizing an automatic closed captioning system. In some embodiments, at a data use (DU) location, an automatic closed captioning system that includes a base model is provided, search criteria are defined to request from one or more data collection (DC) locations, a search request based on the search criteria is sent to the one or more DC locations, relevant closed caption data from the one or more DC locations are received responsive to the search request, the received relevant closed caption data are processed by computing a confidence score for each of a plurality of data sub-sets of the received relevant closed caption data and selecting one or more of the data sub-sets based on the confidence scores, and the automatic closed captioning system is customized by using the selected one or more data sub-sets to train the base model.Type: GrantFiled: December 14, 2019Date of Patent: February 15, 2022Assignee: International Business Machines CorporationInventors: Samuel Thomas, Yinghui Huang, Masayuki Suzuki, Zoltan Tueske, Laurence P. Sansone, Michael A. Picheny
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Publication number: 20210183404Abstract: Method, apparatus, and computer program product are provided for customizing an automatic closed captioning system. In some embodiments, at a data use (DU) location, an automatic closed captioning system that includes a base model is provided, search criteria are defined to request from one or more data collection (DC) locations, a search request based on the search criteria is sent to the one or more DC locations, relevant closed caption data from the one or more DC locations are received responsive to the search request, the received relevant closed caption data are processed by computing a confidence score for each of a plurality of data sub-sets of the received relevant closed caption data and selecting one or more of the data sub-sets based on the confidence scores, and the automatic closed captioning system is customized by using the selected one or more data sub-sets to train the base model.Type: ApplicationFiled: December 14, 2019Publication date: June 17, 2021Inventors: Samuel Thomas, Yinghui Huang, Masayuki Suzuki, Zoltan Tueske, Laurence P. Sansone, Michael A. Picheny
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Patent number: 10726844Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include selecting, from a database, one or more speech domain models based on a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment, wherein the one or more speech domain models are trained with one or more feedback from a clinician based on a medical encounter and from a continuous feedback display in the smart medical room, wherein the one or more feedback from the clinician is based on an optional notification to the clinician to confirm the one or more speech models in use.Type: GrantFiled: September 9, 2019Date of Patent: July 28, 2020Assignee: International Business Machines CorporationInventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
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Publication number: 20200105271Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include selecting, from a database, one or more speech domain models based on a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment, wherein the one or more speech domain models are trained with one or more feedback from a clinician based on a medical encounter and from a continuous feedback display in the smart medical room, wherein the one or more feedback from the clinician is based on an optional notification to the clinician to confirm the one or more speech models in use.Type: ApplicationFiled: September 9, 2019Publication date: April 2, 2020Inventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
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Patent number: 10510348Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include receiving a piece of verbal data associated with a medical encounter from one or more audio recording devices. The present invention may also include accessing a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment associated with the smart medical room based on the received piece of verbal data associated with the medical encounter. The present invention may further include selecting, from a database, one or more speech domain models based on the accessed plurality of signals from the plurality of biometric sensors associated with the plurality of medical equipment, wherein the one or more speech domain models are utilized to optimize a transcription of speech during the medical encounter in the smart medical room.Type: GrantFiled: September 28, 2018Date of Patent: December 17, 2019Assignee: International Business Machines CorporationInventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
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Publication number: 20180005111Abstract: Disclosed herein are systems, methods, and computer-readable media for classifying a set of inputs via a supervised classifier model that utilizes a novel activation function that provides the capability to learn a scale parameter in addition to a bias parameter and other weight parameters.Type: ApplicationFiled: June 30, 2016Publication date: January 4, 2018Inventors: Upendra V. Chaudhari, Michael A. Picheny
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Patent number: 9704482Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.Type: GrantFiled: March 11, 2015Date of Patent: July 11, 2017Assignee: International Business Machines CorporationInventors: Brian E. D. Kingsbury, Lidia Mangu, Michael A. Picheny, George A. Saon
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Patent number: 9697830Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.Type: GrantFiled: June 25, 2015Date of Patent: July 4, 2017Assignee: International Business Machines CorporationInventors: Brian E. D. Kingsbury, Lidia Mangu, Michael A. Picheny, George A. Saon
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Publication number: 20170154264Abstract: A method, executed by a computer, includes monitoring a conversation between a plurality of meeting participants, identifying a conversational focus within the conversation, generating at least one question corresponding to the conversational focus, and retrieving at least one answer corresponding to the at least one question. A computer system and computer program product corresponding to the method are also disclosed herein.Type: ApplicationFiled: November 30, 2015Publication date: June 1, 2017Inventors: Stanley Chen, Kenneth W. Church, Robert G. Farrell, Vaibhava Goel, Lidia L. Mangu, Etienne Marcheret, Michael A. Picheny, Bhuvana Ramabhadran, Laurence P. Sansone, Abhinav Sethy, Samuel Thomas
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Publication number: 20160267907Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.Type: ApplicationFiled: June 25, 2015Publication date: September 15, 2016Inventors: Brian E.D. Kingsbury, Lidia Mangu, Michael A. Picheny, George A. Saon
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Publication number: 20160267906Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.Type: ApplicationFiled: March 11, 2015Publication date: September 15, 2016Inventors: Brian E.D. Kingsbury, Lidia Mangu, Michael A. Picheny, George A. Saon
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Patent number: 9195650Abstract: Techniques for converting spoken speech into written speech are provided. The techniques include transcribing input speech via speech recognition, mapping each spoken utterance from input speech into a corresponding formal utterance, and mapping each formal utterance into a stylistically formatted written utterance.Type: GrantFiled: September 23, 2014Date of Patent: November 24, 2015Assignee: Nuance Communications, Inc.Inventors: Sara H. Basson, Rick A. Hamilton, II, Dan Ning Jiang, Dimitri Kanevsky, David Nahamoo, Michael A. Picheny, Bhuvana Ramabhadran, Tara N. Sainath
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Publication number: 20150120275Abstract: Techniques for converting spoken speech into written speech are provided. The techniques include transcribing input speech via speech recognition, mapping each spoken utterance from input speech into a corresponding formal utterance, and mapping each formal utterance into a stylistically formatted written utterance.Type: ApplicationFiled: September 23, 2014Publication date: April 30, 2015Applicant: Nuance Communications, Inc.Inventors: Sara H. Basson, Rick A. Hamilton, II, Dan Ning Jiang, Dimitri Kanevsky, David Nahamoo, Michael A. Picheny, Bhuvana Ramabhadran, Tara N. Sainath
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Patent number: 7716052Abstract: A method, apparatus and a computer program product to generate an audible speech word that corresponds to text. The method includes providing a text word and, in response to the text word, processing pre-recorded speech segments that are derived from a plurality of speakers to selectively concatenate together speech segments based on at least one cost function to form audio data for generating an audible speech word that corresponds to the text word. A data structure is also provided for use in a concatenative text-to-speech system that includes a plurality of speech segments derived from a plurality of speakers, where each speech segment includes an associated attribute vector each of which is comprised of at least one attribute vector element that identifies the speaker from which the speech segment was derived.Type: GrantFiled: April 7, 2005Date of Patent: May 11, 2010Assignee: Nuance Communications, Inc.Inventors: Andrew S. Aaron, Ellen M. Eide, Wael M. Hamza, Michael A. Picheny, Charles T. Rutherfoord, Zhi Wei Shuang, Maria E. Smith
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Patent number: 7702510Abstract: Systems and methods for dynamically selecting among text-to-speech (TTS) systems. Exemplary embodiments of the systems and methods include identifying text for converting into a speech waveform, synthesizing said text by three TTS systems, generating a candidate waveform from each of the three systems, generating a score from each of the three systems, comparing each of the three scores, selecting a score based on a criteria and selecting one of the three waveforms based on the selected of the three scores.Type: GrantFiled: January 12, 2007Date of Patent: April 20, 2010Assignee: Nuance Communications, Inc.Inventors: Ellen M. Eide, Raul Fernandez, Wael M. Hamza, Michael A. Picheny
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Patent number: 7475015Abstract: A system and method for speech recognition includes generating a set of likely hypotheses in recognizing speech, rescoring the likely hypotheses by using semantic content by employing semantic structured language models, and scoring parse trees to identify a best sentence according to the sentence's parse tree by employing the semantic structured language models to clarify the recognized speech.Type: GrantFiled: September 5, 2003Date of Patent: January 6, 2009Assignee: International Business Machines CorporationInventors: Mark E. Epstein, Hakan Erdogan, Yuqing Gao, Michael A. Picheny, Ruhi Sarikaya
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Publication number: 20080172234Abstract: Systems and methods for dynamically selecting among text-to-speech (TTS) systems. Exemplary embodiments of the systems and methods include identifying text for converting into a speech waveform, synthesizing said text by three TTS systems, generating a candidate waveform from each of the three systems, generating a score from each of the three systems, comparing each of the three scores, selecting a score based on a criteria and selecting one of the three waveforms based on the selected of the three scores.Type: ApplicationFiled: January 12, 2007Publication date: July 17, 2008Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Ellen M. Eide, Raul Fernandez, Wael M. Hamza, Michael A. Picheny
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Publication number: 20080167876Abstract: A method and computer program product for providing paraphrasing in a text-to-speech (TTS) system is provided. The method includes receiving an input text, parsing the input text, and determining a paraphrase of the input text. The method also includes synthesizing the paraphrase into synthesized speech. The method further includes selecting synthesized speech to output, which includes: assigning a score to each synthesized speech associated with each paraphrase, comparing the score of each synthesized speech associated with each paraphrase, and selecting the top-scoring synthesized speech to output. Furthermore, the method includes outputting the selected synthesized speech.Type: ApplicationFiled: January 4, 2007Publication date: July 10, 2008Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Raimo Bakis, Ellen M. Eide, Wael Hamza, Michael A. Picheny
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Patent number: 7054810Abstract: N sets of feature vectors are generated from a set of observation vectors which are indicative of a pattern which it is desired to recognize. At least one of the sets of feature vectors is different than at least one other of the sets of feature vectors, and is preselected for purposes of containing at least some complimentary information with regard to the at least one other set of feature vectors. The N sets of feature vectors are combined in a manner to obtain an optimized set of feature vectors which best represents the pattern. The combination is performed via one of a weighted likelihood combination scheme and a rank-based state-selection scheme; preferably, it is done in accordance with an equation set forth herein. In one aspect, a weighted likelihood combination can be employed, while in another aspect, rank-based state selection can be employed. An apparatus suitable for performing the method is described, and implementation in a computer program product is also contemplated.Type: GrantFiled: October 1, 2001Date of Patent: May 30, 2006Assignee: International Business Machines CorporationInventors: Yuging Gao, Michael A. Picheny, Bhuvana Ramabhadran
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Patent number: 7043432Abstract: In a text-to-speech system, a method of converting text-to-speech can include receiving a text input and comparing the received text input to at least one entry in a text-to-speech cache memory. Each entry in the text-to-speech cache memory can specify a corresponding spoken output. If the text input matches one of the entries in the text-to-speech cache memory, the cached speech output specified by the matching entry can be provided.Type: GrantFiled: August 29, 2001Date of Patent: May 9, 2006Assignee: International Business Machines CorporationInventors: Raimo Bakis, Hari Chittaluru, Edward A. Epstein, Steven J. Friedland, Abraham Ittycheriah, Stephen G. Lawrence, Michael A. Picheny, Charles Rutherfoord, Maria E. Smith