Patents by Inventor Harry Printz
Harry Printz 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).
-
Patent number: 11587558Abstract: A computer-implemented method includes generating an empirically derived acoustic confusability measure by processing example utterances and iterating from an initial estimate of the acoustic confusability measure to improve the measure. The method can further include using the acoustic confusability measure to selectively limit phrases to make recognizable by a speech recognition application.Type: GrantFiled: August 7, 2020Date of Patent: February 21, 2023Assignee: Promptu Systems CorporationInventors: Harry Printz, Naren Chittar
-
Publication number: 20200372903Abstract: A computer-implemented method includes generating an empirically derived acoustic confusability measure by processing example utterances and iterating from an initial estimate of the acoustic confusability measure to improve the measure. The method can further include using the acoustic confusability measure to selectively limit phrases to make recognizable by a speech recognition application.Type: ApplicationFiled: August 7, 2020Publication date: November 26, 2020Inventors: Harry Printz, Naren Chittar
-
Patent number: 10748527Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: GrantFiled: October 12, 2018Date of Patent: August 18, 2020Assignee: Promptu Systems CorporationInventors: Harry Printz, Naren Chittar
-
Publication number: 20190051294Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: ApplicationFiled: October 12, 2018Publication date: February 14, 2019Inventors: Harry Printz, Naren Chittar
-
Patent number: 10121469Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: GrantFiled: March 13, 2017Date of Patent: November 6, 2018Assignee: Promptu Systems CorporationInventors: Harry Printz, Naren Chittar
-
Publication number: 20170186421Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: ApplicationFiled: March 13, 2017Publication date: June 29, 2017Inventors: Harry Printz, Naren Chittar
-
Patent number: 9626965Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: GrantFiled: December 17, 2014Date of Patent: April 18, 2017Assignee: PROMPTU SYSTEMS CORPORATIONInventors: Harry Printz, Naren Chittar
-
Patent number: 9305549Abstract: A method and apparatus to identify names, personalities, titles, and topics that are present in a repository and to identify names, personalities, titles, and topics that are not present in the repository, uses information from external data sources, notably the text used in non-speech, text-based searches, to expand the search terms. The expansion takes place in two forms: (1) finding plausible linguistic variants of existing search terms that are already comprehended in the repository, but that are present under slightly different names; and (2) expanding the existing search term list with items that should be there by virtue of their currency in popular culture, but which for whatever reason have not yet been reflected with content items in the repository.Type: GrantFiled: October 13, 2014Date of Patent: April 5, 2016Assignee: PROMPTU SYSTEMS CORPORATIONInventors: Joseph Bruce Stampleman, Harry Printz
-
Publication number: 20150106100Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: ApplicationFiled: December 17, 2014Publication date: April 16, 2015Inventors: Harry Printz, Naren CHITTAR
-
Patent number: 8959019Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: GrantFiled: October 31, 2007Date of Patent: February 17, 2015Assignee: Promptu Systems CorporationInventors: Harry Printz, Narren Chittar
-
Publication number: 20150032715Abstract: A method and apparatus to identify names, personalities, titles, and topics that are present in a repository and to identify names, personalities, titles, and topics that are not present in the repository, uses information from external data sources, notably the text used in non-speech, text-based searches, to expand the search terms. The expansion takes place in two forms: (1) finding plausible linguistic variants of existing search terms that are already comprehended in the repository, but that are present under slightly different names; and (2) expanding the existing search term list with items that should be there by virtue of their currency in popular culture, but which for whatever reason have not yet been reflected with content items in the repository.Type: ApplicationFiled: October 13, 2014Publication date: January 29, 2015Inventors: Joseph Bruce STAMPLEMAN, Harry PRINTZ
-
Patent number: 8862596Abstract: A method and apparatus to identify names, personalities, titles, and topics that are present in a repository and to identify names, personalities, titles, and topics that are not present in the repository, uses information from external data sources, notably the text used in non-speech, text-based searches, to expand the search terms. The expansion takes place in two forms: (1) finding plausible linguistic variants of existing search terms that are already comprehended in the repository, but that are present under slightly different names; and (2) expanding the existing search term list with items that should be there by virtue of their currency in popular culture, but which for whatever reason have not yet been reflected with content items in the repository.Type: GrantFiled: November 2, 2012Date of Patent: October 14, 2014Assignee: Promptu Systems CorporationInventors: Joseph Bruce Stampleman, Harry Printz
-
Patent number: 8812326Abstract: A computer-driven device assists a user in self-regulating speech control of the device. The device processes an input signal representing human speech to compute acoustic signal quality indicators indicating conditions likely to be problematic to speech recognition, and advises the user of those conditions.Type: GrantFiled: August 6, 2013Date of Patent: August 19, 2014Assignee: Promptu Systems CorporationInventors: Naren Chittar, Vikas Gulati, Matthew Pratt, Harry Printz
-
Patent number: 8793127Abstract: In addition to conveying primary information, human speech also conveys information concerning the speaker's gender, age, socioeconomic status, accent, language spoken, emotional state, or other personal characteristics, which is referred to as secondary information. Disclosed herein are both the means of automatic discovery and use of such secondary information to direct other aspects of the behavior of a controlled system. One embodiment of the invention comprises an improved method to determine, with high reliability, the gender of an adult speaker. A further embodiment of the invention comprises the use of this information to display a gender-appropriate advertisement to the user of an information retrieval system that uses a cell phone as the input and output device.Type: GrantFiled: October 31, 2007Date of Patent: July 29, 2014Assignee: Promptu Systems CorporationInventors: Harry Printz, Vikas Gulati
-
Publication number: 20130325485Abstract: A computer-driven device assists a user in self-regulating speech control of the device. The device processes an input signal representing human speech to compute acoustic signal quality indicators indicating conditions likely to be problematic to speech recognition, and advises the user of those conditions.Type: ApplicationFiled: August 6, 2013Publication date: December 5, 2013Inventors: Naren CHITTAR, Vikas GULATI, Matthew PRATT, Harry PRINTZ
-
Patent number: 8521537Abstract: A computer-driven device assists a user in self-regulating speech control of the device. The device processes an input signal representing human speech to compute acoustic signal quality indicators indicating conditions likely to be problematic to speech recognition, and advises the user of those conditions.Type: GrantFiled: April 3, 2007Date of Patent: August 27, 2013Assignee: Promptu Systems CorporationInventors: Naren Chittar, Vikas Gulati, Matthew Pratt, Harry Printz
-
Patent number: 8321427Abstract: A method and apparatus to identify names, personalities, titles, and topics that are present in a repository, and place them into a grammar, and to identify names, personalities, titles, and topics that are not present in the repository, and place them into a grammar, uses information from external data sources, notably the text used in non-speech, text-based searches, to expand the search terms entered into the ASR grammars. The expansion takes place in two forms: (1) finding plausible linguistic variants of existing search terms that are already comprehended in the repository, but that are present under slightly different names; and (2) expanding the existing search term list with items that should be there by virtue of their currency in popular culture, but which for whatever reason have not yet been reflected with content items in the repository.Type: GrantFiled: October 31, 2007Date of Patent: November 27, 2012Assignee: Promptu Systems CorporationInventors: Joseph Bruce Stampleman, Harry Printz
-
Patent number: 8185390Abstract: The invention comprises a method for lossy data compression, akin to vector quantization, in which there is no explicit codebook and no search, i.e. the codebook memory and associated search computation are eliminated. Some memory and computation are still required, but these are dramatically reduced, compared to systems that do not exploit this method. For this reason, both the memory and computation requirements of the method are exponentially smaller than comparable methods that do not exploit the invention. Because there is no explicit codebook to be stored or searched, no such codebook need be generated either. This makes the method well suited to adaptive coding schemes, where the compression system adapts to the statistics of the data presented for processing: both the complexity of the algorithm executed for adaptation, and the amount of data transmitted to synchronize the sender and receiver, are exponentially smaller than comparable existing methods.Type: GrantFiled: April 23, 2009Date of Patent: May 22, 2012Assignee: Promptu Systems CorporationInventor: Harry Printz
-
Patent number: 7729910Abstract: The invention comprises a method for lossy data compression, akin to vector quantization, in which there is no explicit codebook and no search, i.e. the codebook memory and associated search computation are eliminated. Some memory and computation are still required, but these are dramatically reduced, compared to systems that do not exploit this method. For this reason, both the memory and computation requirements of the method are exponentially smaller than comparable methods that do not exploit the invention. Because there is no explicit codebook to be stored or searched, no such codebook need be generated either. This makes the method well suited to adaptive coding schemes, where the compression system adapts to the statistics of the data presented for processing: both the complexity of the algorithm executed for adaptation, and the amount of data transmitted to synchronize the sender and receiver, are exponentially smaller than comparable existing methods.Type: GrantFiled: June 25, 2004Date of Patent: June 1, 2010Assignee: Agiletv CorporationInventor: Harry Printz
-
Publication number: 20090299741Abstract: A computer-driven device assists a user in self-regulating speech control of the device. The device processes an input signal representing human speech to compute acoustic signal quality indicators indicating conditions likely to be problematic to speech recognition, and advises the user of those conditions.Type: ApplicationFiled: April 3, 2007Publication date: December 3, 2009Inventors: Naren Chittar, Vikas Gulati, Matthew Pratt, Harry Printz