Patents by Inventor Maximilian Bisani
Maximilian Bisani 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: 9990919Abstract: Methods and apparatus for speech recognition on user dictated words to generate a dictation and using a discriminative statistical model derived from a deterministic formatting grammar module and user formatted documents to extract features and estimate scores from the formatting graph. The processed dictation can be output as formatted text based on a formatting selection to provide an integrated stochastic and deterministic formatting of the dictation.Type: GrantFiled: June 24, 2014Date of Patent: June 5, 2018Assignee: NUANCE COMMUNICATIONS, INC.Inventors: Alfred Dielmann, Olivier Divay, Maximilian Bisani
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Patent number: 9697834Abstract: A computer implemented method and system of formatting text output from a speech recognition system is provided. The method includes determining if a user correction to a text output from a speech recognition system can be accomplished by changing a formatting setting associated with the speech recognition system. The formatting setting is changed based on an inferential indication that the change to the formatting setting is acceptable to the user and/or an explicit confirmation from the user that the change to the formatting setting is acceptable.Type: GrantFiled: July 26, 2012Date of Patent: July 4, 2017Assignee: Nuance Communications, Inc.Inventors: Maximilian Bisani, Olivier Divay, Jeffrey S. Kobal
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Publication number: 20170125015Abstract: Methods and apparatus for speech recognition on user dictated words to generate a dictation and using a discriminative statistical model derived from a deterministic formatting grammar module and user formatted documents to extract features and estimate scores from the formatting graph. The processed dictation can be output as formatted text based on a formatting selection to provide an integrated stochastic and deterministic formatting of the dictation.Type: ApplicationFiled: June 24, 2014Publication date: May 4, 2017Applicant: NUANCE COMMUNICATIONS, INC.Inventors: Alfred Dielmann, Olivier Divay, Maximilian Bisani
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Patent number: 9367526Abstract: A language processing application employs a classing function optimized for the underlying production application context for which it is expected to process speech. A combination of class based and word based features generates a classing function optimized for a particular production application, meaning that a language model employing the classing function uses word classes having a high likelihood of accurately predicting word sequences encountered by a language model invoked by the production application. The classing function optimizes word classes by aligning the objective of word classing with the underlying language processing task to be performed by the production application. The classing function is optimized to correspond to usage in the production application context using class-based and word-based features by computing a likelihood of a word in an n-gram and a frequency of a word within a class of the n-gram.Type: GrantFiled: July 26, 2011Date of Patent: June 14, 2016Assignee: Nuance Communications, Inc.Inventors: Paul Vozila, Maximilian Bisani, Yi Su, Stephen M. Chu, Stanley F. Chen, Ruhi Sarikaya, Bhuvana Ramabhadran
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Publication number: 20150262580Abstract: A computer implemented method and system of formatting text output from a speech recognition system is provided. The method includes determining if a user correction to a text output from a speech recognition system can be accomplished by changing a formatting setting associated with the speech recognition system. The formatting setting is changed based on an inferential indication that the change to the formatting setting is acceptable to the user and/or an explicit confirmation from the user that the change to the formatting setting is acceptable.Type: ApplicationFiled: July 26, 2012Publication date: September 17, 2015Applicant: NUANCE COMMUNICATIONS, INC.Inventors: Maximilian Bisani, Olivier Divay, Jeffrey S. Kobal
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Patent number: 9065593Abstract: Methods and apparatus for reducing security vulnerabilities in a client/server speech recognition system including one or more client computers and one or more server computers connected via a network. Decryption of sensitive information, such as medical dictation information, is performed on designated servers to limit the attack surface of unencrypted data. Management of encryption and decryption keys to restrict the storage and/or use of decryption keys on the server side of the client/server speech recognition system, while maintaining encrypted data on the server side is also described.Type: GrantFiled: November 16, 2012Date of Patent: June 23, 2015Assignee: Nuance Communications, Inc.Inventors: William F. Ganong, III, Maximilian Bisani
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Patent number: 9032219Abstract: Methods and apparatus for reducing security vulnerabilities in a client/server speech recognition system including one or more client computers and one or more server computers connected via a network. Decryption of sensitive information, such as medical dictation information, is performed on designated servers to limit the attack surface of unencrypted data. Management of encryption and decryption keys to restrict the storage and/or use of decryption keys on the server side of the client/server speech recognition system, while maintaining encrypted data on the server side is also described.Type: GrantFiled: November 16, 2012Date of Patent: May 12, 2015Assignee: Nuance Communications, Inc.Inventors: William F. Ganong, III, Maximilian Bisani
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Publication number: 20140143533Abstract: Methods and apparatus for reducing security vulnerabilities in a client/server speech recognition system including one or more client computers and one or more server computers connected via a network. Decryption of sensitive information, such as medical dictation information, is performed on designated servers to limit the attack surface of unencrypted data. Management of encryption and decryption keys to restrict the storage and/or use of decryption keys on the server side of the client/server speech recognition system, while maintaining encrypted data on the server side is also described.Type: ApplicationFiled: November 16, 2012Publication date: May 22, 2014Applicant: Nuance Communications, Inc.Inventors: William F. Ganong, III, Maximilian Bisani
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Publication number: 20140143550Abstract: Methods and apparatus for reducing security vulnerabilities in a client/server speech recognition system including one or more client computers and one or more server computers connected via a network. Decryption of sensitive information, such as medical dictation information, is performed on designated servers to limit the attack surface of unencrypted data. Management of encryption and decryption keys to restrict the storage and/or use of decryption keys on the server side of the client/server speech recognition system, while maintaining encrypted data on the server side is also described.Type: ApplicationFiled: November 16, 2012Publication date: May 22, 2014Applicant: Nuance Cornmunications, Inc.Inventors: William F. Ganong, III, Maximilian Bisani
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Patent number: 7813929Abstract: An input sequence of unstructured speech recognition text is transformed into output structured document text. A probabilistic word substitution model is provided which establishes association probabilities indicative of target structured document text correlating with source unstructured speech recognition text. The input sequence of unstructured speech recognition text is looked up in the word substitution model to determine likelihoods of the represented structured document text corresponding to the text in the input sequence. Then, a most likely sequence of structured document text is generated as an output.Type: GrantFiled: March 30, 2007Date of Patent: October 12, 2010Assignee: Nuance Communications, Inc.Inventors: Maximilian Bisani, Paul Vozila, Olivier Divay
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Publication number: 20080243500Abstract: An input sequence of unstructured speech recognition text is transformed into output structured document text. A probabilistic word substitution model is provided which establishes association probabilities indicative of target structured document text correlating with source unstructured speech recognition text. The input sequence of unstructured speech recognition text is looked up in the word substitution model to determine likelihoods of the represented structured document text corresponding to the text in the input sequence. Then, a most likely sequence of structured document text is generated as an output.Type: ApplicationFiled: March 30, 2007Publication date: October 2, 2008Inventors: Maximilian Bisani, Paul Vozila, Olivier Divay