Saon; George A.

Patent Applications and Registrations

Patent applications and USPTO patent grants for Saon; George A..The latest application filed is for "vocal recognition using generally available speech-to-text systems and user-defined vocal training".

Company Profile

4.12.11

Saon; George A. - Stamford CT
Saon; George A. - Putnum Valley NY
Saon; George A. - Old Greenwich CT
Saon; George A. - Putnam Valley NY

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Vocal recognition using generally available speech-to-text systems and user-defined vocal training Grant 11,151,996 - Saon , et al. October 19, 2	2021-10-19
Diarization driven by the ASR based segmentation Grant 11,120,802 - Church , et al. September 14, 2	2021-09-14
Vocal Recognition Using Generally Available Speech-to-text Systems And User-defined Vocal Training App 20200335100 - SAON; George A. ; et al.	2020-10-22
Diarization driven by meta-information identified in discussion content Grant 10,468,031 - Church , et al. No	2019-11-05
Diarization Driven by Meta-Information Identified in Discussion Content App 20190156835 - Church; Kenneth W. ; et al.	2019-05-23
Diarization Driven by the ASR Based Segmentation App 20190156832 - Church; Kenneth W. ; et al.	2019-05-23
Method and system for joint training of hybrid neural networks for acoustic modeling in automatic speech recognition Grant 10,262,260 - Saon , et al.	2019-04-16
Speaker adaptation of neural network acoustic models using I-vectors Grant 9,858,919 - Saon January 2, 2	2018-01-02
Method and system for order-free spoken term detection Grant 9,704,482 - Kingsbury , et al. July 11, 2	2017-07-11
Method and system for order-free spoken term detection Grant 9,697,830 - Kingsbury , et al. July 4, 2	2017-07-04
Method And System For Joint Training Of Hybrid Neural Networks For Acoustic Modeling In Automatic Speech Recognition App 20170161608 - SAON; GEORGE A. ; et al.	2017-06-08
Method and system for joint training of hybrid neural networks for acoustic modeling in automatic speech recognition Grant 9,665,823 - Saon , et al. May 30, 2	2017-05-30
Method And System For Order-free Spoken Term Detection App 20160267906 - Kingsbury; Brian E.D. ; et al.	2016-09-15
Method And System For Order-free Spoken Term Detection App 20160267907 - Kingsbury; Brian E.D. ; et al.	2016-09-15
Applying speaker adaption techniques to correlated features Grant 9,373,324 - Sainath , et al. June 21, 2	2016-06-21
Method And System For Joint Training Of Hybrid Neural Networks For Acoustic Modeling In Automatic Speech Recognition App 20150161522 - Saon; George A. ; et al.	2015-06-11
Systems And Methods For Applying Speaker Adaption Techniques To Correlated Features App 20150161993 - Sainath; Tara N. ; et al.	2015-06-11
Speaker Adaptation of Neural Network Acoustic Models Using I-Vectors App 20150149165 - Saon; George A.	2015-05-28
Minimum bayes error feature selection in speech recognition Grant 7,529,666 - Padmanabhan , et al. May 5, 2	2009-05-05
Speech Recognition Utilizing Multitude Of Speech Features App 20080312921 - Axelrod; Scott E. ; et al.	2008-12-18
Speech recognition utilizing multitude of speech features Grant 7,464,031 - Axelrod , et al. December 9, 2	2008-12-09
Lattice-based unsupervised maximum likelihood linear regression for speaker adaptation Grant 7,216,077 - Padmanabhan , et al. May 8, 2	2007-05-08
Speech recognition utilizing multitude of speech features App 20050119885 - Axelrod, Scott E. ; et al.	2005-06-02

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.