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Antoine R Raux

from Los Gatos, CA
Age ~46
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Also known as:
Antoine A Raux, Roland Raux, Antoine X
Connected to:
Mile Rauzan, 76Angela J Rauzi, 62Gary M Rauzi, 67Marc A Rauzi, 52Paul H Rauzi, 46Alan H Rauzin, 78Keith E Rauzon, 68Vijaykumar Rav, 65David A Rava, 32Jayne M Rava, 71

Antoine Raux Phones & Addresses

  • Los Gatos, CA
  • Mountain View, CA
  • Cupertino, CA
  • 5622 Beacon St, Pittsburgh, PA 15217 (412) 421-8611
  • 720 Negley Ave, Pittsburgh, PA 15232 (412) 441-3585
  • 5700 Ellsworth Ave, Pittsburgh, PA 15232 (412) 441-3585
  • 720 S Negley Ave, Pittsburgh, PA 15232

Work

Position: Service Occupations

Education

Degree: Associate degree or higher

Resumes

Resumes

Antoine Raux Photo 1

Engineering Manager

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Location:
10325 Vicksburg Dr, Cupertino, CA 95014
Industry:
Consumer Electronics
Work:
Lenovo - Santa Clara, CA since May 2013
Principal Researcher
Honda Research Institute Jan 2009 - May 2013
Senior Scientist
Carnegie Mellon University Aug 2002 - Dec 2008
Research Assistant
Advanced Telecommunications Research Institute International (NICT) Jun 2007 - Aug 2007
Intern
Microsoft Research Feb 2006 - May 2006
Intern
Education:
Carnegie Mellon University 2002 - 2008
Kyoto University 2000 - 2002
Ecole polytechnique 1996 - 1999
Therese d'Avila (Lille) 1991 - 1994
Skills:
Natural Language Processing
Algorithms
Computer Science
Machine Learning
Speech Recognition
Artificial Intelligence
Human Computer Interaction
Research
Signal Processing
Latex
C++
Speech Technology
Perl
Human Robot Interaction
R&D
Speech Processing
Python
Languages
Software Development
Spoken Dialog Systems
Speech
Opencv
Speech Technologies
Software Engineering
Research and Development
Human Computer Interaction
Languages:
French
Japanese
English
Antoine Raux Photo 2

Antoine Raux

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Publications

Us Patents

Belief Tracking And Action Selection In Spoken Dialog Systems

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US Patent:
20120053945, Mar 1, 2012
Filed:
Aug 30, 2011
Appl. No.:
13/221155
Inventors:
Rakesh Gupta - Mountain View CA, US
Deepak Ramachandran - Champaign IL, US
Antoine Raux - Cupertino CA, US
Neville Mehta - Mountain View CA, US
Stefan Krawczyk - Mountain View CA, US
Matthew Hoffman - Vancouver, CA
Assignee:
HONDA MOTOR CO., LTD. - Tokyo
International Classification:
G10L 15/18
US Classification:
704256, 704257, 704E15018
Abstract:
An action is performed in a spoken dialog system in response to a user's spoken utterance. A policy which maps belief states of user intent to actions is retrieved or created. A belief state is determined based on the spoken utterance, and an action is selected based on the determined belief state and the policy. The action is performed, and in one embodiment, involves requesting clarification of the spoken utterance from the user. Creating a policy may involve simulating user inputs and spoken dialog system interactions, and modifying policy parameters iteratively until a policy threshold is satisfied. In one embodiment, a belief state is determined by converting the spoken utterance into text, assigning the text to one or more dialog slots associated with nodes in a probabilistic ontology tree (POT), and determining a joint probability based on probability distribution tables in the POT and on the dialog slot assignments.

Landmark-Based Location Belief Tracking For Voice-Controlled Navigation System

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US Patent:
20130297321, Nov 7, 2013
Filed:
Mar 13, 2013
Appl. No.:
13/801441
Inventors:
Antoine Raux - Cupertino CA, US
Rakesh Gupta - Mountain View CA, US
Deepak Ramachandran - Mountain View CA, US
Yi Ma - Columbus OH, US
International Classification:
G01C 21/26
US Classification:
704275
Abstract:
An utterance is received from a user specifying a location attribute and a landmark. A set of candidate locations is identified based on the specified location attribute, and a confidence score can be determined for each candidate location. A set of landmarks is identified based on the specified landmark, and confidence scores can be determined for the landmarks. An associated kernel model is generated for each landmark. Each kernel model is centered at the location of the associated landmark on a map, and the amplitude of the kernel model can be based on landmark attributes, landmark confidence scores, characteristics of the user, and the like. The candidate locations are ranked based on the amplitudes of overlapping kernel models at the candidate locations, and can also be ranked based on confidence scores associated with the candidate locations. A candidate location is selected and presented to the user based on the candidate location ranking

Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning

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US Patent:
20140018985, Jan 16, 2014
Filed:
Mar 15, 2013
Appl. No.:
13/838922
Inventors:
Rakesh Gupta - Saratoga CA, US
Deepak Ramachandran - Mountain View CA, US
Adam C. Vogel - San Francisco CA, US
Antoine Raux - Cupertino CA, US
International Classification:
B60W 20/00
B60W 10/26
B60W 10/06
US Classification:
701 22, 180 65265, 903930
Abstract:
A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value αand a second value αare determined, αrepresents a proportion of an instantaneous power requirement (P) supplied by an engine of the HEV. αcontrols a recharging rate of a battery of the HEV. A determination is performed, based on αand α, regarding how much engine power to use (P) and how much battery power to use (P). Pand Pare sent to the powertrain.

Enhancing Speech Recognition Using Visual Information

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US Patent:
20110224979, Sep 15, 2011
Filed:
Mar 9, 2010
Appl. No.:
12/720636
Inventors:
Antoine R. Raux - Cupertino CA, US
Assignee:
HONDA MOTOR CO., LTD. - Tokyo
International Classification:
G10L 15/20
H04N 7/18
G06K 9/46
US Classification:
704233, 348 77, 382190, 704E15039, 348E07085
Abstract:
Speech recognition device uses visual information to narrow down the range of likely adaptation parameters even before a speaker makes an utterance. Images of the speaker and/or the environment are collected using an image capturing device, and then processed to extract biometric features and environmental features. The extracted features and environmental features are then used to estimate adaptation parameters. A voice sample may also be collected to refine the adaptation parameters for more accurate speech recognition.

Reform Input In Flow Execution

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US Patent:
20220382994, Dec 1, 2022
Filed:
Sep 1, 2021
Appl. No.:
17/464560
Inventors:
- Cupertino CA, US
Antoine R. RAUX - Los Gatos CA, US
International Classification:
G06F 40/35
G10L 15/18
G06K 9/72
G06K 9/62
G06F 9/48
Abstract:
Systems and processes for operating an intelligent automated assistant are provided. An example method includes, at an electronic device having one or more processors and memory, receiving an utterance including a user request, determining a natural language representation of the user request, determining a first software process associated with the natural language representation, determining whether the natural language representation can be executed by a task flow of the first software process, and in accordance with a determination that the natural language representation cannot be executed by the task flow of the first software process: determining a set of transformation instructions, determining a revised natural language representation using the set of transformation instructions, and providing the revised natural language representation to a second software process.

User Input Interpretation Using Display Representations

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US Patent:
20220374109, Nov 24, 2022
Filed:
Aug 10, 2021
Appl. No.:
17/398866
Inventors:
- Cupertino CA, US
Daniel Sean HSU - Philadelphia PA, US
Yi MA - Milpitas CA, US
Antoine R. RAUX - Los Gatos CA, US
International Classification:
G06F 3/0482
G06F 3/0486
G06F 3/01
Abstract:
Systems and processes for using display representations are provided. For example, at a first time, a first plurality of objects is displayed, and a first plurality of relationships associated with the first plurality of objects is identified. A display representation is obtained, including a plurality of first object representations as displayed at the first time and a plurality of first relationship representation as identified as the first time. At a second time, an input is received from the user. In response to receiving the input from the user, the display representation is retrieved, the retrieved display representation including a plurality of second object representations corresponding to a second plurality of displayed object as displayed at the second time and a plurality of second relationship representations as identified at the second time. An output responsive to the input is provided based on the retrieved display representation.

Secure Data Transmission Using Natural Language

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US Patent:
20200044850, Feb 6, 2020
Filed:
Dec 10, 2018
Appl. No.:
16/215530
Inventors:
- Menlo Park CA, US
Antoine Raux - Menlo Park CA, US
Paul Yang - Palo Alto CA, US
Felicia Wong - Menlo Park CA, US
International Classification:
H04L 9/32
G06F 17/27
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure data transmission using natural language. One of the methods includes: obtaining sensitive information for a user; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information.

Task-Independent Conversational Systems

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US Patent:
20200027443, Jan 23, 2020
Filed:
May 8, 2019
Appl. No.:
16/407098
Inventors:
- Menlo Park CA, US
Antoine Raux - Menlo Park CA, US
International Classification:
G10L 15/06
G06N 3/04
G10L 15/22
G10L 15/16
G10L 15/26
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating responses using task-independent conversational systems.
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Antoine R Raux from Los Gatos, CA, age ~46 Get Report