About Me

I have 8+ years experience in Artificial Intelligence and Machine Learning. More specifically in end-to-end Deep Neural Networks research for a wide variety of applications. Prior to that, I had 23 years of experience in digital signal processing applied to acoustics and vibration analysis. Throughout my career, I had the opportunity to work on a wide range of applications, all of which have required my advanced analytical skills for their implementations. My PhD and post-doctoral studies were done in the field of active control of sound and vibration, which has led to an extensive amount of hands-on experience for real-time digital signal processing, acoustic and vibration measurements, analysis, instrumentation and sensors/actuators development. More recently I have been working with Deep Neural Networks to use on various applications, such as End-to-End DNN for autonomous vehicle controls, automatic speech recognition, signal separation, sound source identification, etc. I have 20 U.S. patents and 5 more are pending. I have published many articles in scientific journals, and participated at numerous scientific conferences, see publication section below for more details.

I have worked at Ford between 1998 and 2023. During that time, I had the opportunity to lead the development and implementations of numerous signal processing tools and metrics for speech signal quality and objective measurements of NVH issues. My analytical skills were consistently used to develop new processing approaches and metrics when the NVH problems at hand were too complex for “off-the-shelf” analysis software applications. I also developed a wide range of user-friendly dedicated signal processing tools that enabled other engineers to perform their work more efficiently. I have authored or co-authored twenty Research & Advance Engineering technical reports and multiple Corporate Engineering Test Procedures. Among my many accomplishments, I won the prestigious Henry Ford Technological Award, 4 Global Customer Satisfaction Awards, a PD Engineering Excellence Award, and 8 additional Awards.

Throughout my career, and to this day, my professional goals have always been to work in a position where my analytical thinking, Machine Learning/AI expertise, advanced signal processing knowledge, hands-on approach and managerial skills can be applied to the development and deployment of new and innovative technologies and products.

A condensed version of the resume presented below can be downloaded in a Word file version or a pdf file.

Contact Details

✆: (209) 972-1220
✉: Charette.Francois@outlook.com

Work

Ford Motor Company

Research and Product Development Engineer • May 1998 - July 2023

During my time at Ford Motor Company, I had the chance to occupy a variety of positions and responsabilities. Highlights include:

  • AI/ML Research Scientist (2015 - 2023) Palo Alto, Greenfield Labs
    Lead research in:
    • End-to-End Deep Neural Networks controls for autonomous vehicle, i.e., steering and throttle
    • Developing a variety of graphical user interface tools for Deep Neural Networks architecture design, training and testing using Python with Pytorch or TensorFlow/Keras.
    • using Deep Neural Networks for Natural Language Understanding and Automatic Speech Recognition implementation
    • Sound Source Identifications using DNN
    • Sensors signal processing, e.g., LiDAR, cameras, etc.
    I also participated in evaluations of strategic technologies from startups located in the Silicon Valley area and support recruiting efforts to build a strong team in a very competitive talent landscape.
  • SPAVR Research Engineer (2012 - 2015) Dearborn Research and Innovation Center
    Team leader of the of the development and implementation of Corporate Engineering Test Procedure (CETP) for hands-free speech quality processing of vehicle infotainment systems. The ability to do in-house evaluation of hands-free phone quality is a Ford first. This effort resulted in innovative hands-free noise reduction algorithm improvements for in-vehicle speech quality processing.
    Also, lead developer of the Ford signal processing and advanced speech analysis toolbox (MATLAB based). This toolbox contains multiple user interfaces that allows to manage, process and create (1 patent) large number of speech utterances with various background noise levels and types to support the development of speech recognition algorithms and the testing of speech recognition engine. All of the user interfaces of this toolbox are designed to be user-friendly and help engineers in their work by increasing their efficiency regarding speech processing and speech data management.
    Supported and analyzed all the suppliers’ noise suppression software evaluations and used the results to guide the speech processing selection for SYNC Gen III, i.e., QNX.
  • S&R Core Engineer (2009 - 2011) Experimental Vehicle Building
    Responsible for the development of innovative testing procedures, objective metrics, data acquisition and processing, reporting, etc. for a wide variety of core production programs, e.g., sliding wedge rattle, window scrape, side doors chuck, lift gates, etc. Develops and/or adapts objective metrics, methods and tools for the various requirements of the projects. Performs both road and lab measurements using proving ground and the Hydraulic Road Simulator.
  • VSHC Core Engineer (2007 - 2008) Experimental Vehicle Building
    Principal developer for the Vehicle Sensitivity Health Chart tools and infrastructure. Created the first comprehensive implementation of Vehicle Sensitivity data management, processing and reporting system that reduces to amount of time to process full Vehicle Sensitivity data from days to minutes.
  • Closures Lab Leader (2005 - 2006) Advanced Engineering Center
    Plan, schedule, process data and adapt, if needed, all the signal processing/metrics required for noise and vibration measurements done at the closure's lab. These include in-vehicle microphones and accelerometers instrumentation and measurement made on several harsh road surfaces at various speeds.
  • Sound Quality Lab Leader (2004) Advanced Engineering Center
    Responsible for the development and implementation of the Sound Quality lab Corporate Engineering Test Procedures (CETP), data processing, acquisition, archiving, and management. Performed all the Lab Leader responsibilities and proactively created batch processing software to reduce the time required to process data which reduced the lab turn around time. The time required to process all the SQ closures data has been reduced by at least a factor of five.
  • NOMAD Team Leader (2002 - 2003) Advanced Engineering Center
    Led the development and implementation of assembly plant end of line acoustic and vibration analysis/tools/software for NVH/S&R Objective Measurements, Analysis and Diagnostic (i.e., the NOMAD project).
  • S&R Core Engineer (1999 - 2001) Advanced Engineering Center
    Principal technical developer for various NVH/S&R tools. Received the prestigious “HENRY FORD TECHNOLOGICAL AWARD” for all the technical contributions in the development of these tools (4 patents + CETP).
  • NVH Engineer (1998 - 1999) Advanced Engineering Center
    Lead Buzz, Squeak & Rattle (i.e., BSR) measurements and diagnostics on multiple vehicle programs e.g., sliding wedge rattle, window scrape, side doors, lift gates, door chuck, etc. Develops and/or adapts objective metrics, methods and tools for the various needs of the projects.

Education

Virginia Tech

Postdoctoral Research• Completed May 1998

I had the opportunity to work on multiple projects in Active Controls of Sound and Vibrations while doing my Post-Doc, here is a summary;

  • Led the development and lab experimentation of an active trim panel for the reduction of separation flow noise in airplane cockpit (NASA Funded project).
  • Lead developer of various real time controllers (signal processing on DSP boards) with GUI interface, and multiple data acquisition systems for the Vibration and Acoustic Laboratories research group, i.e., VAL.
  • Led the signal processing development for the noise source separation and identification system in motor vehicles cabin using the Least Mean Square (i.e., LMS) algorithm.
  • Developed electro-mechanical adaptive vibration absorbers for sound minimization applications. Designed and implemented two different types of tunable vibration absorbers. Planned and executed the numerous lab experiments required to verify and improve these new tunable vibration absorbers. Demonstrated that the greatest sound reduction obtained with a vibration absorber is not necessarily when the absorber is tuned to minimize the vibration, but instead is obtained using an acoustic cost function, e.g., sound radiation minimization, which in turn leads to the absorber being detuned in relation to the structure vibration.

Sherbrooke University

PhD. in Mechanical Engineering • Completed September 1995

Active Control of Sound Radiation from Plane Structures Using PVDF Volume Displacement Sensors
Innovative volume displacement sensors made of shaped PVDF film strips were developed for beams and plates with arbitrary boundary conditions. Multiple variational models of piezoelectric actuation and PVDF film sensing for beams and plates were developed and experimentally verified. These piezoelectric transducers were implemented in active control systems minimizing the volume displacement of the structure.

Laval University

Master in Mechanical Engineering • Completed April 1992

Bending Energy Dissipation of Simplified Single-Layer Stranded Cable
A simplified single-layer stranded cable model was developed to compute the energy dissipated by friction between strand components. The relative displacement between wire and core was determined according to the theory of contact mechanics. The predicted values were compared to experimental values derived from tests on overhead transmission line conductors in free-field conditions.

Laval University

Bachelor in Mechanical Engineering • Completed May 1990

Scholarship

1994 - 1995 FCAR Scholarship
1993 Sherbrooke University Institutional Scholarship
1990 - 1992 FCAR Scholarship

Awards

2022 AI/ML Virtual Conf. Excellence Award (Visual Path Navigation)
2020 AI/ML Virtual Conf. Excellence Award (One-Shot Learning)
2020 AI/ML Virtual Conf. Excellence Award (Platooning)
2019 R&AE Recognition Award for Girls Who Code Program support
2018 R&AE Recognition Award for Girls Who Code Program support
2015 Global Customer Satisfaction Award
2013 I.T. Innovation Contest Award
2012 Peer Recognition Award
2011 PD Engineering Excellence Award
2010 Global Customer Satisfaction Award
2009 VE Quality Award
2007 Global Customer Satisfaction Award
2005 VASE Technical Achievement Award
2002 Global Customer Satisfaction Award
1999 Henry Ford Technological Award

Skills

On a scale from 0 to 10, the skills assessments I have collected and honed over the course of my career are listed here. "0" denotes no prior experience or knowledge of the subject, while "10" denotes "perfect" mastery.

  • Python
  • PyTorch
  • TensorFlow with Keras
  • MATLAB
  • LabVIEW
  • C/C++
  • GitHub - Source Control
  • Data Acquisition/Instrumentation
  • Data Management/Curation
  • Communication Skills
  • MS Office (Excel, Word, PowerPoint, SharePoint, etc.)
  • ATLASIAN Cloud Tools (Confluence, JIRA, etc.)
  • Photoshop
  • HTML5

Publications

Patents

  1. Efficient Neural Networks
    US Patent 12,233,912, jointly with N. Nagraj Rao, S. Venkat, S. Sridhar and V. Nariyambut Murali, February 2025.
  2. Joint ASR and TTX Conversion Using Adversarial Neural Networks
    US Patent 11,574,622, jointly with L. Balakrishnan and P. Narayanan, February 2023.
  3. Natural Speech Data Generation Systems and Methods
    US Patent 11,318,373, jointly with L. Krishnan and S. Tokatyan, May 2022.
  4. Multi-Tier Network for Task-Oriented Deep Neural Network
    US Patent 10,839,230, jointly with J. Solomon, November 2020.
  5. Vehicle Window Transmittance Control Apparatus and Method
    US Patent 10,832,067, jointly with S. Myers, A. Walsh and L. Scaria, November 2020.
  6. Adaptive vehicle state-based hands-free phone noise reduction with learning capability
    US Patent 10,475,466, jointly with S. Amman, A. Cooprider, Y. Gur, P. Nicastri and G. Puskorius, November 2019.
  7. Acoustic and domain-based speech recognition for vehicles
    US Patent 10,475,447, jointly with A. Ji, S. Amman, B. Richardson, J. Huber, R. Rangarajan, G. Puskorius and A. Hassani, November 2019.
  8. Multi-sensor precipitation classification apparatus and method
    US Patent 10,427,645, jointly with R. Karandikar, N. Nagraj Rao and S. Myers, October 2019.
  9. Vehicle having dynamic acoustic model switching to improve noisy speech recognition
    US Patent 10,297,251, jointly with S. Amman, B. Richardson, J. Huber, G. Puskorius, A. Hassani, A. Ji and R. Rangarajan, May 2019.
  10. Autonomous police vehicle
    US Patent 10,269,242, jointly with M. Ahmad, H. Banvait and A. Gurghian, April 2019.
  11. Autonomous-vehicle-control system and method incorporating occupant preferences
    US Patent 10,266,182, jointly with L. Krishnan, April 2019.
  12. Detecting physical threats approaching a vehicle
    US Patent 10,139,827, jointly with S. Myers, L. Scaria and A. Gurghian, November 2018.
  13. Method and apparatus for tuning speech recognition systems to accommodate ambient noise
    US Patent 9,978,399, jointly with S. Amman, B. Richardson, A. Miramonti, J. Huber and G. Puskorius, May 2018.
  14. Acoustic impulse response simulation
    US Patent 9,761,223, jointly with M. Blommer, S. Amman, B. Richardson, M. Porter, G. Puskorius and A. Cooprider, September 2017.
  15. Method and apparatus for objective measurement of noise
    US Patent 7,437,274, jointly with V. Juneja, S. Venkattapa, R. Hooker, R. Quaglia and M. Blommer, October 2008.
  16. Method and system for assessing a refrigerant charge level in a vehicle air conditioning system
    US Patent 7,337,619, jointly with H. Hsieh, S. Lake, H. Maruvada, M. Calkins, A. Przebienda and D. Volker, March 2008.
  17. Method and system to detect unwanted noise
    US Patent 6,650,757, jointly with D. Zhou, K.D. Hsueh, V. Tran, and H. Hsieh, November 2003.
  18. Sound detector device
    US Patent 6,360,607, jointly with H. Hsieh, V. Tran, K.D. Hsueh and R. Hooker, March 2002.
  19. Method and apparatus for identifying sound in a composite sound signal
    US Patent 6,182,018, jointly with V. Tran, K. Hsueh and S. Lei, January 2001.
  20. System for diagnosing unexpected noise in a multi-component assembly
    US Patent 6,116,091, jointly with V. Tran, B. Covitz, G. Boes, K. Hsueh, A. Phillips and C.R. Fuller, September 2000.
  21. Method for determining and reproducing noise inducing vibrations in a multi-component assembly
    US Patent 6,101,882, jointly with V. Tran, B. Covitz, G. Boes, K. Hsueh, A. Phillips and C.R. Fuller, August 2000.


Patents Pending

  1. Joint Automatic Speech Recognition And Text To Speech Conversion Using Adversarial Neural Networks
    US20220005457A1, jointly with K. Balakrishnan, and P. Narayanan, January 2022.
  2. Enhanced Vehicle Operation
    US20210397198A1, jointly with I. Bozchalooi, R. Burke, P. Narayanan, D. Upadhyay and D. Filev, December 2021.
  3. Vehicle language processing
    US20200126546A1, jointly with L. Scaria, R. Burke and P. Narayanan, April 2020.
  4. Neural Network Generative Modeling to Transform Speech Utterances And Augment Training Data
    US20190304480A1, jointly with L. Scaria, R. Burke, A. Micks and P. Narayanan, October 2019.
  5. Generating training data for a conversational query response system
    US20180032902A1, jointly with L. Krishnan, K. Han and G. Puskorius, February 2018.


Articles/Preprints

  1. A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions
    J. Solomon and F. Charette, arXiv:2011.07948v1, November 2020.
  2. Hierarchical Sequence to Sequence Voice Conversion with Limited Data
    P. Narayanan, P. Chakravarty, F. Charette and G. Puskorius, arXiv:1907.07769v1, July 2019.
  3. Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving
    J. Solomon and F. Charette, arXiv: 1902.03466v2, February 2019.
  4. The Impact of Microphone Location and Beamforming on In-Vehicle Speech Recognition
    S. Amman, J. Huber, F. Charette, B. Richardson and J. Wheeler, SAE Int. J. Passenger Cars – Electronic and Electrical Systems 10(2): 430-434, March 2017.
  5. Validation of In-Vehicle Speech Recognition Using Synthetic Mixing
    J. Huber, R. Rangarajan, A. Ji, F. Charette, S. Amman, J. Wheeler and B. Richardson, SAE Int. J. Passenger Cars – Electronic and Electrical Systems 10(1): 260-264, March 2017.
  6. Quantifying Hands-Free Call Quality in an Automobile
    S. Amman, F. Charette, P. Nicastri, J. Huber, B. Richardson, G. Puskorius, Y. Gur and A. Cooprider, SAE Int. J. Passenger Cars – Mechanical Systems 8(3): 1104-1109, June 2015.
  7. Minimization of Sound Radiation from Plates using Adaptive Tuned Vibration Absorbers
    J.P. Carneal, F. Charette, and C.R. Fuller, Journal of Sound and Vibration, V270, p.781-792, March 2004.
  8. Squeaks and Rattles Portable Excitation System
    F. Charette, K. D. Hsueh, R. Hooker, D. Zhou and A. Phillips, Ford Technical Journal, Vol. 4, Issue 2, March 2001.
  9. Bending energy dissipation of simplified single-layer stranded cable
    S. Goudreau, F. Charette, C. Hardy, and L. Cloutier, J. Engineering Mechanics. Vol. 124 (8), p.811-817, August 1998.
  10. Active control of sound radiation from a plate using a PVDF volume displacement sensor
    F. Charette, C. Guigou, and A. Berry, J. Acoust. Soc. Am. Vol. 103 (3), p.1493-1503, 1998.
  11. Dynamic effects of piezoelectric actuators on the vibrational response of a plate
    F. Charette, C. Guigou and A. Berry, Journal of Intelligent Material Systems and Structures, Vol 8 (6), p.513-524, 1997.
  12. Active control of finite beam volume velocity using shaped PVDF sensor
    C. Guigou, A. Berry, F. Charette, and J. Nicolas, Acta Acustica Journal, Vol 82 (5), p. 772-783, 1996.
  13. Variational analysis of a thin finite beam excitation with a single asymmetric piezoelectric actuator including bonding layer and dynamical effects
    G. Plantier, C. Guigou, J. Nicolas, J.B. Piaud, and F. Charette, Acta Acustica Journal 3, p. 135-151, 1995.
  14. Active control of planar structures volume displacement using piezoelectric transducers
    F. Charette, Ph.D. thesis (French), 1995.
  15. Asymmetric actuation and sensing of a beam using piezoelectric materials
    F. Charette, C. Guigou, A. Berry, and G. Plantier, J. Acoust. Soc. Am. Vol. 96 (4), p.2272-2283, 1994.
  16. Analysis of stranded cable damping characteristics under cycling bending
    F. Charette, MS thesis (French), 1992.


Technical Reports @ Ford Corporate Library

  1. Deep Generative Models for Data Synthesis
    P. Narayanan, P. Chakravarty and F. Charette, Ford Research Laboratory Technical Reports SRR-2019-0130, September 2020.
  2. Deep Neural Networks for End-to-End Controls
    F. Charette and J. Solomon, Research Laboratory Technical Reports SRR-2019-0022, January 2019.
  3. Deep Neural Networks for Sound and Speech Applications
    L. Scaria, F. Charette and L. Krishnan, Ford Research Laboratory Technical Reports SRR-2019-0058, April 2019.
  4. 1/10th Scale Vehicle Educational Framework for Autonomous Vehicles and ADAS Technologies
    F. Charette, J. Solomon and A. Gurghian, Ford Research Laboratory Technical Reports SRR-2017-0093, June 2017.
  5. Detection of Lane-Splitting Motorcycles
    K. Zurawski, S. Tokatyan, R. Karandikar and F. Charette, Ford Research Laboratory Technical Reports SRR-2017-0007, December 2016.
  6. Multiple Microphones for Automatic Speech Recognition Improvement
    S. Amman, J. Huber, F. Charette and B. Richardson, Ford Research Laboratory Technical Reports SRR-2016-0168, September 2016.
  7. Mobile Far-End Sound Quality: An On-Road System for Recording and Analyzing Phone Calls
    J. Huber, S. Amman, F. Charette, K. Millitello and P. Treman, Ford Research Laboratory Technical Reports SRR-2016-0169, October 2016.
  8. Understanding the Lombard Effect and its Impact on In-Vehicle Speech Recognition
    A. Hassani, S. Amman and F. Charette, Ford Research Laboratory Technical Reports SRR-2015-0220, December 2015.
  9. Effects of Narrow Band Bluetooth on the VoCon Embedded Automatic Speech Recognition System
    J. Huber, B. Richardson, F. Charette, S. Amman and S. Santos, Ford Research Laboratory Technical Reports SRR-2015-0110, June 2015.
  10. Close Speech Utterances Convolution with Cabin Impulse Response Validation using ASR Word Error Rate
    F. Charette, B. Richardson, S. Amman, J. Huber and M. Blommer, Ford Research Laboratory Technical Reports SRR-2015-0035, March 2015.
  11. SYNC Microphone Location Optimization for P552 Vehicle and Recommendation for all Vehicle Platforms
    Y. Gur, F. Charette and P. Nicastri, Ford Research Laboratory Technical Reports SRR-2014-0190, September 2014.
  12. SYNC Microphone Location Optimization for CD-Car
    Y. Gur, F. Charette and P. Nicastri, Ford Research Laboratory Technical Reports SRR-2014-0189, September 2014.
  13. Development of Audio Chambers to Quantify Laboratory Repeatability and Reproducibility of In-Car Hands-Free Call Testing
    A. Miramonti, S. Amman, F. Charette, T. Dalka and P. Nicastri, Ford Research Laboratory Technical Reports SRR-2014-0218, November 2014.
  14. SYNC Microphone Location Optimization for B-Car
    Y. Gur, F. Charette, P. Nicastri and G. Puskorius, Ford Research Laboratory Technical Reports SRR-2014-0110, April 2014.
  15. Mobile Phone Mean Opinion Score (MOS) Listening Study
    S. Amman, F. Charette, Y. Gur and L. Meisner, Ford Research Laboratory Technical Reports SRR-2014-0032, February 2014.
  16. 3QUEST Target Setting Using Vehicle Benchmarking
    F. Charette, S. Amman, Y. Gur and P. Nicastri, Ford Research Laboratory Technical Reports SRR-2013-0183, September 2013.
  17. SYNC Microphone Location Optimization in Vehicle Cabin
    Y. Gur, F. Charette, P. Nicastri, and S. Amman, Ford Research Laboratory Technical Reports SRR-2013-0099, May 2013.
  18. Preliminary Evaluation of Hosiden Microphone Array for Vehicle SYNC Systems
    Y. Gur, F. Charette, P. Nicastri, S. Amman and D. Wagner, Ford Research Laboratory Technical Reports SRR-2013-0018, January 2013.
  19. Ford Vehicles Benchmarking using 3QUEST Testing
    F. Charette, S. Amman, Y. Gur, P. Nicastri and D. Wagner, Ford Research Laboratory Technical Reports SRR-2013-0003, December 2012.
  20. SYNC Microphone Signal Measurements
    F. Charette, P. Nicastri, Y. Gur, S. Amman and D. Wagner, Ford Research Laboratory Technical Reports SRR-2012-0131, July 2012.


Conferences

  1. One-Shot Learning for Autonomous Vehicles
    F. Charette, Z. Zhou and M. Cui, 2020 AI & Machine Learning Conference, Virtual Conference, 9-10 December 2020.
  2. A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions
    F. Charette and J. Solomon, 2020 AI & Machine Learning Conference, Virtual Conference, 9-10 December 2020.
  3. Key-Value Retrieval Networks for Task-Oriented Dialogue
    M. Eric, L. Krishnan, F. Charette and C. Manning, Proceedings of the SIGDIAL 2017 Conference, pages 37–49, Saarbrucken, Germany, 15-17 August 2017.
  4. The Impact of Microphone Location and Beamforming on In-Vehicle Speech Recognition
    S. Amman, J. Huber, F. Charette, B. Richardson and J. Wheeler, WCX™ 17: SAE World Congress Experience, Dearborn, MI, March 2017.
  5. Validation of In-Vehicle Speech Recognition Using Synthetic Mixing
    J. Huber, R. Rangarajan, A. Ji, F. Charette, S. Amman, J. Wheeler and B. Richardson, WCX™ 17: SAE World Congress Experience, Dearborn, MI, March 2017.
  6. Background Noise Effects on Automotive Hands-free Phone Call Quality and Automatic Speech Recognition
    F. Charette, J. Huber, S. Amman and G. Puskorius, The 7th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, San Francisco, CA, October 2015.
  7. Signal Processing for Noise, Vibration and Harness (NVH) Applications
    F. Charette, S. Venkatappa and M. Maskill, 69th ACFAS Conference, INVITED SPEAKER, Sherbrooke, Canada, May 14-17, 2001.
  8. Squeaks and Rattles Automated Measurements at Assembly Plants
    F. Charette, S. Venkatappa, R. Hooker and M. Maskill, 2000 Ford Motor Company Noise, Vibration and Harsness Conference, Dearborn, Michigan, December 5-6, 2000.
  9. Idle Vibration Objective Monitoring System for Assembly Plants
    S. Venkatappa, F. Charette, R. Hooker and M. Maskill, 2000 Ford Motor Company Noise, Vibration and Harshness Conference, Dearborn, Michigan, December 5-6, 2000.
  10. Adaptive vibration absorbers for control of sound radiation form panels
    F. Charette, C.R. Fuller and J.P. Carneal, presented and published in the proceedings of The 1997 AIAA/CEAS Aeroacoustics Conference, Atlanta, Georgia, USA, May 12-15 1997.
  11. Control of structural sound radiation using multiple detuned vibration absorber
    R.I. Wright, F. Charette and C.R. Fuller, presented at the 133rd Meeting of the Acoustical Society of America, Pennsylvania state University, Pennsylvania, June 1997.
  12. Test of a piezoceramic actuator for the active control of power transformer vibration
    P. Michaud, A. Berry, P. Masson and F. Charette, presented at the 133rd Meeting of the Acoustical Society of America, Pennsylvania state University, Pennsylvania, June 1997.
  13. Control of sound radiation from panels using multiple globally detuned vibration absorbers
    C.R. Fuller, J.P. Carneal and F. Charette, presented at the 3rd Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, Hawaii, November 28 - December 2 1997.
  14. Active enhancement of the transmission loss of a panel via minimization of the volume velocity: theoretical and experimental results
    M. Ruiz, A. Berry, F. Charette and C. Guigou, presented and published in the proceedings of the Acoustics week in Canada Congress (Canadian Acoustical Association), Quebec City, Canada, October 9-12 1995.
  15. Active control of plate volume displacement: simulation and experimental results
    F. Charette, A. Berry and C. Guigou, presented and published in the proceedings of the Acoustics week in Canada Congress (Canadian Acoustical Association), Quebec City, Canada, October 9-12 1995.
  16. Volume velocity sensors for plates
    A. Berry, F. Charette and C. Guigou, presented and published in the proceedings of the A.S.M.E. International Mechanical Engineering Congress, San-Francisco, California, November 12-17 1995.
  17. Active control of plate volume displacement using shaped strips of PVDF film as sensor
    F. Charette, A. Berry and C. Guigou, presented and published in the proceedings of The 1995 International Symposium on Active Control of Sound and Vibration (Active95), Newport Beach, California, USA, July 6-8 1995.
  18. Active control of sound by minimization of volume velocity on finite beam
    C. Guigou, F. Charette, and A. Berry, presented and published in the proceedings of the Third International Congress on Air- and Structure-Borne Sound and Vibration. Montréal, Canada, June 13-15 1994.
  19. Active control of plate volume velocity using shaped PVDF sensors
    F. Charette, A. Berry, and C. Guigou, presented and published in the Proceedings of the Adaptive Structures and Material Systems Symposium, 1994 A.S.M.E. Winter Annual Meeting, Chicago, Illinois, November 7-11 1994.
  20. Active control of structural volume velocity using shaped PVDF sensors
    F. Charette, A. Berry, and C. Guigou, presented at the 128th Meeting of the Acoustical Society of America, Austin, Texas, November 28 - December 2 1994.
  21. Active control of plate volume velocity using shaped PVDF sensors
    C. Guigou, A. Berry, and F. Charette, presented at the 127th Meeting of the Acoustical Society of America, Cambridge, Massachusetts, June 6-10 1994.
  22. Contrôle actif du bruit par minimisation du débit volumique de structure: analyse et expérience
    A. Berry, C. Guigou et F. Charette, presented and published in the proceedings of the Third French Conference on Acoustics of the S.F.A. (Société Française d'Acoustique), Toulouse, France, Mai 2-6 1994.
  23. Asymmetric actuation and sensing of a beam using piezoelectric materials
    F. Charette, C. Guigou, and A. Berry, presented at the 125th Meeting of the Acoustical Society of America, Ottawa, Canada, May 17-21 1993.
  24. Asymmetric piezoelectric actuation and sensing of a beam
    F. Charette, G. Plantier, C. Guigou, and A. Berry, presented and published in the Proceedings of the Second Conference on Recent Advances in Active Control of Sound and Vibration, Blacksburg, Virginia, April 20-24 1993.


Workshops

  1. Quantification of the impact of Lombard speech on in-Vehicle Speech Recognition
    A. Hassani, S. Amman and F. Charette, presented at the 7th Biennial DSP for In-Vehicle Systems and Safety Workshop, Berkeley, California, October 13-16, 2015.
  2. Speech Recognition Robustness Studies at Ford Motor Company
    F. Charette, J. Huber and B. Richardson, presented at the SANE 2014 – Speech and Audio in the Northeast Workshop, MIT, Cambridge, Massachusetts, October 23, 2014.
  3. Reduction of flow noise in a plane cockpit using an active trim panel
    F. Charette and C.R. Fuller, presented at the 1998 NASA Interior Noise Workshop, Fort Monroe, Hampton, Virginia, February 17-19, 1998.
  4. Design and implementation of adaptable tuned vibration absorbers for control of sound radiation
    R.Wright, F. Charette and C.R. Fuller, presented at the 1998 NASA Interior Noise Workshop, Fort Monroe, Hampton, Virginia, February 17-19, 1998.
  5. Active control of a cockpit trim panel
    F. Charette and C.R. Fuller, project review ‘Structural acoustics characteristics of aircraft and active control of interior noise’, presented at the NASA Langley Research Center, Hampton, Virginia, October 15, 1997.
  6. LabView based interfaces for DSP boards
    F. Charette, M. Wenzel and C.R. Fuller, project review ‘Structural acoustics characteristics of aircraft and active control of interior noise’, presented at the NASA Langley Research Center, Hampton, Virginia, October 15, 1997.
  7. Design and implementation of mechanical and solid state adaptable tuned vibration absorbers for control of sound radiation
    R. Wright, F. Charette and C.R. Fuller, project review ‘Structural acoustics characteristics of aircraft and active control of interior noise’, presented at the NASA Langley Research Center, Hampton, Virginia, October 15, 1997.
  8. Noise source separation system using the LMS algorithm
    F. Charette, C.R. Fuller and J. Maillard, presented at the Advanced Engineering Center, Ford Motor Company, Dearborn, Michigan, July 21, 1997.
  9. Adaptively tuned/detuned vibration absorbers for control of sound radiation from structures
    F. Charette, C.R. Fuller and J.P. Carneal, presented at the 1996 NASA Interior Noise Workshop, Langley Research Center, Hampton, Virginia, September 10 - 12 1996.
  10. Adaptive tuned vibration absorbers for sound minimization
    F. Charette, J.P. Carneal and C.R. Fuller, ONR project review, presented at Virginia Tech, August 1996.
  11. Short survey of the current projects related to active control of sound in aircraft at VAL
    F. Charette and C.R. Fuller, presented at the Interior Noise Control Workshop of Lord Corporation, Cary, North Carolina, April 11 1996.