Career records & work history
Medicine Doctors
Eugene Carl Weinstein
Specialties:
Surgery
Education:
University of Illinois at Chicago (1956)
Eugene Joshua Weinstein, 8010 Ashfield St, Shelburne Falls, MA 01370
Eugene Weinstein Phones & Addresses
10 Ashfield St, Shelburne Falls, MA 01370 413-6259352
Shelburne Fls, MA
Buckland, MA
Portland, OR
Brooklyn, NY
Bernardston, MA
Bernardston, MA
Shelburne Fls, MA
Mentions for Eugene Joshua Weinstein
Publications & IP owners
Us Patents
Methods And Systems For Providing Speech Recognition Systems Based On Speech Recordings Logs
US Patent:
8494853, Jul 23, 2013
Filed:
Jan 4, 2013
Appl. No.:
13/734296
Inventors:
Pedro J. Moreno Mengibar - Jersey City NJ, US
Eugene Weinstein - New York NY, US
Eugene Weinstein - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G10L 15/26
US Classification:
704235, 7042701, 704270, 704233, 704257
Abstract:
Examples of methods and systems for providing speech recognition systems based on speech recordings logs are described. In some examples, a method may be performed by a computing device within a system to generate modified data logs to use as a training data set for an acoustic model for a particular language. A device may receive one or more data logs that comprise at least one or more recordings of spoken queries and transcribe the recordings. Based on comparisons, the device may identify any transcriptions that may be indicative of noise and may remove those transcriptions indicative of noise from the data logs. Further, the device may remove unwanted transcriptions from the data logs and the device may provide the modified data logs as a training data set to one or more acoustic models for particular languages.
Methods And Systems For Speech Recognition Processing Using Search Query Information
US Patent:
8589164, Nov 19, 2013
Filed:
Mar 15, 2013
Appl. No.:
13/832136
Inventors:
Jeffrey Scott Sorensen - New York NY, US
Eugene Weinstein - New York NY, US
Eugene Weinstein - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G10L 15/14
G10L 15/06
G06F 17/21
G10L 15/06
G06F 17/21
US Classification:
704257, 704 10, 704244
Abstract:
Methods and systems for speech recognition processing are described. In an example, a computing device may be configured to receive information indicative of a frequency of submission of a search query to a search engine for a search query composed of a sequence of words. Based on the frequency of submission of the search query exceeding a threshold, the computing device may be configured to determine groupings of one or more words of the search query based on an order in which the one or more words occur in the sequence of words of the search query. Further, the computing device may be configured to provide information indicating the groupings to a speech recognition system.
Generating Acoustic Models
US Patent:
2012027, Nov 1, 2012
Filed:
Jul 10, 2012
Appl. No.:
13/545360
Inventors:
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mengibar - New York NY, US
Pedro J. Moreno Mengibar - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/28
US Classification:
704 2
Abstract:
This document describes methods, systems, techniques, and computer program products for generating and/or modifying acoustic models. Acoustic models and/or transformations for a target language/dialect can be generated and/or modified using acoustic models and/or transformations from a source language/dialect.
Generating Acoustic Models
US Patent:
2013029, Nov 7, 2013
Filed:
Nov 8, 2011
Appl. No.:
13/883964
Inventors:
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mangibar - Jersey City NJ, US
Pedro J. Moreno Mangibar - Jersey City NJ, US
International Classification:
G10L 15/06
US Classification:
704243
Abstract:
This document describes methods, systems, techniques, and computer program products for generating and/or modifying acoustic models. Acoustic models and/or transformations for a target language/dialect can be generated and/or modified using acoustic models and/or transformations from a source language/dialect.
Acoustic Model Training Corpus Selection
US Patent:
2016026, Sep 15, 2016
Filed:
May 25, 2016
Appl. No.:
15/164263
Inventors:
- Mountain View CA, US
John Paul Alex - Brooklyn NY, US
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mengibar - Jersey City NJ, US
Olivier Siohan - New York NY, US
Ignacio Lopez Moreno - New York NY, US
John Paul Alex - Brooklyn NY, US
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mengibar - Jersey City NJ, US
Olivier Siohan - New York NY, US
Ignacio Lopez Moreno - New York NY, US
International Classification:
G10L 15/06
G10L 15/01
G10L 15/16
G10L 15/30
G10L 15/01
G10L 15/16
G10L 15/30
Abstract:
The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer. An updated production speech recognizer component is provided to the production speech recognizer for use in transcribing subsequently received speech data items.
Acoustic Model Training Corpus Selection
US Patent:
2016009, Mar 31, 2016
Filed:
Apr 22, 2015
Appl. No.:
14/693268
Inventors:
- Mountain View CA, US
John Paul Alex - Brooklyn NY, US
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mengibar - Jersey City NJ, US
Olivier Siohan - New York NY, US
Ignacio Lopez Moreno - New York NY, US
John Paul Alex - Brooklyn NY, US
Eugene Weinstein - New York NY, US
Pedro J. Moreno Mengibar - Jersey City NJ, US
Olivier Siohan - New York NY, US
Ignacio Lopez Moreno - New York NY, US
International Classification:
G10L 15/06
G10L 15/187
G10L 15/26
G10L 25/30
G10L 15/187
G10L 15/26
G10L 25/30
Abstract:
The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer. An updated production speech recognizer component is provided to the production speech recognizer for use in transcribing subsequently received speech data items.
Methods And Systems For Speech Recognition Processing Using Search Query Information
US Patent:
2014011, Apr 24, 2014
Filed:
Sep 24, 2013
Appl. No.:
14/035083
Inventors:
- Mountain View CA, US
Jeffrey Scott Sorensen - New York NY, US
Eugene Weinstein - New York NY, US
Jeffrey Scott Sorensen - New York NY, US
Eugene Weinstein - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G10L 15/06
US Classification:
704244
Abstract:
Methods and systems for speech recognition processing are described. In an example, a computing device may be configured to receive information indicative of a frequency of submission of a search query to a search engine for a search query composed of a sequence of words. Based on the frequency of submission of the search query exceeding a threshold, the computing device may be configured to determine groupings of one or more words of the search query based on an order in which the one or more words occur in the sequence of words of the search query. Further, the computing device may be configured to provide information indicating the groupings to a speech recognition system.
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