Professional Records
License Records
Hugh Evan Secker-Walker
Address:
8 Cherry St, Newburyport, MA 01950
License #:
A5266818
Category:
Airmen
Hugh Secker-Walker Phones & Addresses
-
8 Cherry St, Newburyport, MA 01950
-
503 Broughton Dr, Beverly, MA 01915 (978) 524-0538
-
18 Pickett St, Beverly, MA 01915
-
Manchester, MA
-
Gloucester, MA
-
North Andover, MA
Work
Company:
Solutions
Position:
Senior research engineer
Education
Degree:
Doctorates, Doctor of Philosophy
School / High School:
Massachusetts Institute of Technology 1989 to 1994
Specialities:
Electronics
Skills
Algorithms • Linux • Python • Machine Learning • Artificial Intelligence • Fitness • C++ • Endurance • R&D • Simulations • Strength Training • Software Design • Private Piloting • Trail and Meadow Stewardship • Docker
Ranks
Certificate:
Private Pilot
Industries
Research
Resumes
Resumes
Sole Proprietor
View pageLocation:
Newburyport, MA
Industry:
Research
Work:
Solutions
Senior Research Engineer
Senior Research Engineer
Education:
Massachusetts Institute of Technology 1989 - 1994
Doctorates, Doctor of Philosophy, Electronics Massachusetts Institute of Technology 1985 - 1988
Masters, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Massachusetts Institute of Technology 1979 - 1985
Bachelors, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Horton Watkins High School 1976 - 1979
West Ladue Junior High School 1973 - 1976
Spoede Elementary School 1971 - 1973
New End Primary School 1966 - 1970
Doctorates, Doctor of Philosophy, Electronics Massachusetts Institute of Technology 1985 - 1988
Masters, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Massachusetts Institute of Technology 1979 - 1985
Bachelors, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Horton Watkins High School 1976 - 1979
West Ladue Junior High School 1973 - 1976
Spoede Elementary School 1971 - 1973
New End Primary School 1966 - 1970
Skills:
Algorithms
Linux
Python
Machine Learning
Artificial Intelligence
Fitness
C++
Endurance
R&D
Simulations
Strength Training
Software Design
Private Piloting
Trail and Meadow Stewardship
Docker
Linux
Python
Machine Learning
Artificial Intelligence
Fitness
C++
Endurance
R&D
Simulations
Strength Training
Software Design
Private Piloting
Trail and Meadow Stewardship
Docker
Certifications:
Private Pilot
Faa
Faa
Publications
Us Patents
Speech Recognition Power Management
View pageUS Patent:
20180096689, Apr 5, 2018
Filed:
Jul 10, 2017
Appl. No.:
15/645918
Inventors:
- Seattle WA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Tony David - San Jose CA, US
Reinhard Kneser - Aachen, North Rhine-Westphalia, DE
Jeffrey Penrod Adams - Tyngsborough MA, US
Stan Weidner Salvador - Tega Cay SC, US
Mahesh Krishnamoorthy - Melrose MA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Tony David - San Jose CA, US
Reinhard Kneser - Aachen, North Rhine-Westphalia, DE
Jeffrey Penrod Adams - Tyngsborough MA, US
Stan Weidner Salvador - Tega Cay SC, US
Mahesh Krishnamoorthy - Melrose MA, US
International Classification:
G10L 15/28
G10L 15/08
G10L 15/30
G10L 25/78
G10L 15/08
G10L 15/30
G10L 25/78
Abstract:
Power consumption for a computing device may be managed by one or more keywords. For example, if an audio input obtained by the computing device includes a keyword, a network interface module and/or an application processing module of the computing device may be activated. The audio input may then be transmitted via the network interface module to a remote computing device, such as a speech recognition server. Alternately, the computing device may be provided with a speech recognition engine configured to process the audio input for on-device speech recognition.
Speech Model Retrieval In Distributed Speech Recognition Systems
View pageUS Patent:
20160071519, Mar 10, 2016
Filed:
Nov 16, 2015
Appl. No.:
14/942551
Inventors:
- Seattle WA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Jeffrey Cornelius O'Neill - Somerville MA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Jeffrey Cornelius O'Neill - Somerville MA, US
International Classification:
G10L 15/32
G10L 15/30
G10L 15/30
Abstract:
Features are disclosed for managing the use of speech recognition models and data in automated speech recognition systems. Models and data may be retrieved asynchronously and used as they are received or after an utterance is initially processed with more general or different models. Once received, the models and statistics can be cached. Statistics needed to update models and data may also be retrieved asynchronously so that it may be used to update the models and data as it becomes available. The updated models and data may be immediately used to re-process an utterance, or saved for use in processing subsequently received utterances. User interactions with the automated speech recognition system may be tracked in order to predict when a user is likely to utilize the system. Models and data may be pre-cached based on such predictions.
Speech Model Retrieval In Distributed Speech Recognition Systems
View pageUS Patent:
20140163977, Jun 12, 2014
Filed:
Dec 12, 2012
Appl. No.:
13/712891
Inventors:
AMAZON TECHNOLOGIES, INC. - , US
Hugh Evan Secker-Walker - Newburyport MA, US
Jeffrey Cornelius O'Neill - Somerville MA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Jeffrey Cornelius O'Neill - Somerville MA, US
Assignee:
AMAZON TECHNOLOGIES, INC. - Reno NV
International Classification:
G10L 15/22
US Classification:
704232
Abstract:
Features are disclosed for managing the use of speech recognition models and data in automated speech recognition systems. Models and data may be retrieved asynchronously and used as they are received or after an utterance is initially processed with more general or different models. Once received, the models and statistics can be cached. Statistics needed to update models and data may also be retrieved asynchronously so that it may be used to update the models and data as it becomes available. The updated models and data may be immediately used to re-process an utterance, or saved for use in processing subsequently received utterances. User interactions with the automated speech recognition system may be tracked in order to predict when a user is likely to utilize the system. Models and data may be pre-cached based on such predictions.
Speech Recognition Power Management
View pageUS Patent:
20140163978, Jun 12, 2014
Filed:
Dec 11, 2012
Appl. No.:
13/711510
Inventors:
Amazon Techologies, Inc. - , US
Hugh Evan Secker-Walker - Newburyport MA, US
Tony David - San Jose CA, US
Reinhard Kneser - Aachen, North Rhine-Westphalia, DE
Jeffrey Penrod Adams - Tyngsborough MA, US
Stan Weidner Salvador - Tega Cay SC, US
Mahesh Krishnamoorthy - Melrose MA, US
Hugh Evan Secker-Walker - Newburyport MA, US
Tony David - San Jose CA, US
Reinhard Kneser - Aachen, North Rhine-Westphalia, DE
Jeffrey Penrod Adams - Tyngsborough MA, US
Stan Weidner Salvador - Tega Cay SC, US
Mahesh Krishnamoorthy - Melrose MA, US
Assignee:
AMAZON TECHNOLOGIES, INC. - Reno NV
International Classification:
G10L 15/08
US Classification:
704233
Abstract:
Power consumption for a computing device may be managed by one or more keywords. For example, if an audio input obtained by the computing device includes a keyword, a network interface module and/or an application processing module of the computing device may be activated. The audio input may then be transmitted via the network interface module to a remote computing device, such as a speech recognition server. Alternately, the computing device may be provided with a speech recognition engine configured to process the audio input for on-device speech recognition.