François Charette, PhD

Research engineer — machine learning, artificial intelligence and digital signal processing.

Twenty-five years at Ford Motor Company, the last nine of them leading deep-learning research at Greenfield Labs in Palo Alto. 29 U.S. patents, 71 publications, and a long habit of building the tool when the off-the-shelf one falls short.

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Portrait of François Charette
About

Deep learning, built on two decades of signal processing

I worked at Ford Motor Company from 1998 to 2023. From 2015 to 2023 I was an AI/ML research scientist at Greenfield Labs in Palo Alto, leading research on end-to-end deep neural networks for autonomous vehicle control, automatic speech recognition and natural language understanding, signal separation, and sound source identification — along with the GUI tooling that let other researchers design, train and test those networks in PyTorch and TensorFlow/Keras.

The two decades before that were digital signal processing applied to acoustics and vibration. My PhD and post-doctoral work were in active control of sound and vibration, which left me with a great deal of hands-on experience in real-time DSP, acoustic and vibration measurement, instrumentation, and sensor and actuator development. That background is the reason the machine learning work has always been grounded in the physics of the signal rather than in the framework of the month.

At Ford I led the development of numerous signal processing tools and metrics for speech signal quality and objective NVH measurement, and repeatedly built new processing approaches when the problem at hand was too complex for off-the-shelf analysis software. Much of that work went into user-friendly tools that let other engineers do their own work faster. I authored or co-authored twenty Research & Advanced Engineering technical reports and multiple Corporate Engineering Test Procedures, and received the Henry Ford Technological Award, four Global Customer Satisfaction Awards, a PD Engineering Excellence Award and eight others.

I retired from Ford in 2023 — from the company, not from the work. I now run Charette AI Group, researching and building applications in AI, machine learning and signal processing. Most of what has come out of it so far is free to download; commercialization runs through partnerships, which keeps the focus on the research and development itself.

I remain open to select work — consulting, advisory or research engagements — where analytical depth, machine learning and signal processing expertise, and a hands-on approach are what the problem actually calls for. Email is the best way to reach me.

Current work

Charette AI Group

Research in artificial intelligence applications, machine learning development and digital signal processing. Six projects so far — most of them free downloads, one still in development.

pySPWB

Free

Signal processing workbench — spectra, transfer functions, coherence, spectrograms and adaptive filtering. Runs on Windows, macOS and Linux, with or without Python installed.

RV Backup Helper

In development

An object recognition system integrated into the backup camera systems used on RVs.

CloakClip

Free

Encrypt and decrypt text with a shared password, straight from the clipboard — for private messages through chat, email or notes. Windows and macOS.

SAE Fractional Calculator

Free

Desktop calculator for imperial measurements: yards, feet, inches and fractions on an exact 1/32″ grid. Windows and macOS.

HTML Font Toolbar

Free

Obsidian plugin — a floating toolbar that styles selected text with clean inline HTML: colors, highlights, sizes, fonts and alignment merged into a single span.

HTML Table Toolbar

Free

Obsidian plugin — a Word-style toolbar for real HTML tables: rows and columns, merged and split cells, header rows, alignment, borders and cell shading.

Visit Charette AI Group →

Experience

Twenty-five years, eight roles

During my time at Ford Motor Company I had the chance to occupy a variety of positions and responsibilities. Highlights, most recent first:

Ford Motor Company

May 1998 – July 2023

  • AI/ML Research Scientist

    2015 – 2023Greenfield Labs, Palo Alto

    Led research in:

    • End-to-end deep neural network controls for autonomous vehicles, i.e., steering and throttle.
    • A variety of graphical user interface tools for deep neural network architecture design, training and testing, using Python with PyTorch or TensorFlow/Keras.
    • Deep neural networks for natural language understanding and automatic speech recognition.
    • Sound source identification using DNNs.
    • Sensor signal processing, e.g., LiDAR, cameras, etc.

    I also participated in evaluations of strategic technologies from Silicon Valley startups, and supported recruiting efforts to build a strong team in a very competitive talent landscape.

  • SPAVR Research Engineer

    2012 – 2015Dearborn Research and Innovation Center

    Team leader for the development and implementation of the 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 was a Ford first, and the 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). The toolbox contains multiple user interfaces that manage, process and create (1 patent) large numbers of speech utterances with various background noise levels and types, supporting the development of speech recognition algorithms and the testing of speech recognition engines. Every interface was designed to be user-friendly and to make engineers more efficient at speech processing and speech data management.

    Supported and analyzed all of 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 – 2011Experimental Vehicle Building

    Responsible for the development of innovative testing procedures, objective metrics, data acquisition and processing, and reporting for a wide variety of core production programs — sliding wedge rattle, window scrape, side door chuck, lift gates, and others. Developed and adapted objective metrics, methods and tools to the requirements of each project, and performed both road and lab measurements using the proving ground and the Hydraulic Road Simulator.

  • VSHC Core Engineer

    2007 – 2008Experimental 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, reducing the time to process full Vehicle Sensitivity data from days to minutes.

  • Closures Lab Leader

    2005 – 2006Advanced Engineering Center

    Planned and scheduled the closures lab's noise and vibration measurements, processed the data, and adapted the signal processing and metrics where needed. This included in-vehicle microphone and accelerometer instrumentation, and measurements on several harsh road surfaces at various speeds.

  • Sound Quality Lab Leader

    2004Advanced Engineering Center

    Responsible for the development and implementation of the Sound Quality lab's Corporate Engineering Test Procedures (CETP), along with data processing, acquisition, archiving and management. Proactively created batch processing software that cut lab turnaround time — processing all the SQ closures data became at least five times faster.

  • NOMAD Team Leader

    2002 – 2003Advanced Engineering Center

    Led the development and implementation of assembly plant end-of-line acoustic and vibration analysis tools and software for NVH/S&R Objective Measurements, Analysis and Diagnostic — the NOMAD project.

  • S&R Core Engineer

    1999 – 2001Advanced Engineering Center

    Principal technical developer for various NVH/S&R tools. Received the Henry Ford Technological Award for the technical contributions behind these tools (4 patents plus a CETP).

  • NVH Engineer

    1998 – 1999Advanced Engineering Center

    Lead engineer for Buzz, Squeak & Rattle (BSR) measurements and diagnostics across multiple vehicle programs — sliding wedge rattle, window scrape, side doors, lift gates, door chuck. Developed and adapted objective metrics, methods and tools to each project's needs.

Education

Active control of sound and vibration

  • Postdoctoral research

    Completed May 1998Virginia Tech

    I worked on multiple projects in active control of sound and vibration:

    • Led the development and lab experimentation of an active trim panel for the reduction of separation flow noise in airplane cockpits (NASA funded project).
    • Lead developer of various real-time controllers — signal processing on DSP boards with GUI interfaces — and multiple data acquisition systems for the Vibration and Acoustic Laboratories research group (VAL).
    • Led the signal processing development for noise source separation and identification in motor vehicle cabins using the Least Mean Square (LMS) algorithm.
    • Developed electro-mechanical adaptive vibration absorbers for sound minimization, designing and implementing two different types of tunable absorber. The lab work demonstrated that the greatest sound reduction from a vibration absorber is not necessarily obtained when the absorber is tuned to minimize vibration, but rather through an acoustic cost function such as sound radiation minimization — which leaves the absorber detuned relative to the structure's vibration.

Degrees

PhD, Mechanical Engineering

Sherbrooke University
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 were developed and experimentally verified, then implemented in active control systems minimizing the volume displacement of the structure.

MS, Mechanical Engineering

Laval University
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. Relative displacement between wire and core was determined from contact mechanics, and predicted values compared against tests on overhead transmission line conductors in free-field conditions.

BS, Mechanical Engineering

Laval University
Completed May 1990

Scholarships

  • 1994–95FCAR Scholarship
  • 1993Sherbrooke University Institutional Scholarship
  • 1990–92FCAR Scholarship
Skills

What I work with

Tools and domains I have used in production research work.

Machine learning & AI

  • Python
  • PyTorch
  • TensorFlow / Keras
  • Deep neural network architecture design
  • End-to-end control networks
  • Automatic speech recognition
  • Natural language understanding
  • Generative models for data synthesis

Signal processing & acoustics

  • MATLAB
  • LabVIEW
  • C / C++
  • Real-time DSP
  • Active control of sound & vibration
  • Speech quality metrics
  • NVH objective metrics
  • Adaptive filtering (LMS)

Instrumentation & data

  • Data acquisition
  • Sensor & actuator development
  • Piezoelectric transducers
  • Lab & road measurement
  • Data management & curation
  • Test procedure development (CETP)

Practice

  • Git / GitHub
  • Atlassian (Jira, Confluence)
  • Research team leadership
  • Technical writing
  • Invited speaking
  • Patent authorship
Recognition

Awards

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

Patents & publications

Twenty-nine granted U.S. patents and seventy-one publications going back to 1993. Titles marked PDF link to the full document.

Patents 29 granted

  1. Efficient Neural NetworksUS 12,233,912 · with N. Nagraj Rao, S. Venkat, S. Sridhar and V. Nariyambut Murali · February 2025
  2. Vehicle Neural Network EnhancementUS 11,829,131 · with I. Bozchalooi, D. Filev, R. Burke and D. Upadhyay · November 2023
  3. Joint Automatic Speech Recognition and Text-to-Speech Conversion Using Adversarial Neural NetworksUS 11,574,622 · with K. Balakrishnan and P. Narayanan · February 2023
  4. Hierarchical Encoder for Speech Conversion SystemUS 11,410,667 · with P. Chakravarty, L. Scaria, R. Burke and P. Narayanan · August 2022
  5. Vehicle Neural NetworkUS 11,340,624 · with J. Solomon · May 2022
  6. Natural Speech Data Generation Systems and MethodsUS 11,318,373 · with L. Krishnan and S. Tokatyan · May 2022
  7. Vehicle Language ProcessingUS 10,957,317 · with L. Scaria, R. Burke and P. Narayanan · March 2021
  8. Neural Network Generative Modeling to Transform Speech Utterances and Augment Training DataUS 10,937,438 · with P. Narayanan, L. Scaria, A. Micks and R. Burke · March 2021
  9. Vehicle Language ProcessingUS 10,891,951 · with L. Scaria, P. Narayanan and R. Burke · January 2021
  10. Vehicle Language ProcessingUS 10,891,949 · with P. Narayanan, L. Scaria, R. Burke, P. Chakravarty and K. Balakrishnan · January 2021
  11. Multi-Tier Network for Task-Oriented Deep Neural NetworkUS 10,839,230 · with J. Solomon · November 2020
  12. Vehicle Window Transmittance Control Apparatus and MethodUS 10,832,067 · with S. Myers, A. Walsh and L. Scaria · November 2020
  13. Adaptive Vehicle State-Based Hands-Free Phone Noise Reduction with Learning CapabilityUS 10,475,466 · with S. Amman, A. Cooprider, Y. Gur, P. Nicastri and G. Puskorius · November 2019
  14. Acoustic and Domain-Based Speech Recognition for VehiclesUS 10,475,447 · with A. Ji, S. Amman, B. Richardson, J. Huber, R. Rangarajan, G. Puskorius and A. Hassani · November 2019
  15. Multi-Sensor Precipitation Classification Apparatus and MethodUS 10,427,645 · with R. Karandikar, N. Nagraj Rao and S. Myers · October 2019
  16. Vehicle Having Dynamic Acoustic Model Switching to Improve Noisy Speech RecognitionUS 10,297,251 · with S. Amman, B. Richardson, J. Huber, G. Puskorius, A. Hassani, A. Ji and R. Rangarajan · May 2019
  17. Autonomous Police VehicleUS 10,269,242 · with M. Ahmad, H. Banvait and A. Gurghian · April 2019
  18. Autonomous-Vehicle-Control System and Method Incorporating Occupant PreferencesUS 10,266,182 · with L. Krishnan · April 2019
  19. Vehicle-Window-Transmittance Control Apparatus and MethodUS 10,192,125 · with S. Myers, A. Walsh and L. Scaria · January 2019
  20. Detecting Physical Threats Approaching a VehicleUS 10,139,827 · with S. Myers, L. Scaria and A. Gurghian · November 2018
  21. Method and Apparatus for Tuning Speech Recognition Systems to Accommodate Ambient NoiseUS 9,978,399 · with S. Amman, B. Richardson, A. Miramonti, J. Huber and G. Puskorius · May 2018
  22. Acoustic Impulse Response SimulationUS 9,761,223 · with M. Blommer, S. Amman, B. Richardson, M. Porter, G. Puskorius and A. Cooprider · September 2017
  23. Method and Apparatus for Objective Measurement of NoiseUS 7,437,274 · with V. Juneja, S. Venkattapa, R. Hooker, R. Quaglia and M. Blommer · October 2008
  24. Method and System for Assessing a Refrigerant Charge Level in a Vehicle Air Conditioning SystemUS 7,337,619 · with H. Hsieh, S. Lake, H. Maruvada, M. Calkins, A. Przebienda and D. Volker · March 2008
  25. Method and System to Detect Unwanted NoiseUS 6,650,757 · with D. Zhou, K.D. Hsueh, V. Tran and H. Hsieh · November 2003
  26. Sound Detector DeviceUS 6,360,607 · with H. Hsieh, V. Tran, K.D. Hsueh and R. Hooker · March 2002
  27. Method and Apparatus for Identifying Sound in a Composite Sound SignalUS 6,182,018 · with V. Tran, K. Hsueh and S. Lei · January 2001
  28. System for Diagnosing Unexpected Noise in a Multi-Component AssemblyUS 6,116,091 · with V. Tran, B. Covitz, G. Boes, K. Hsueh, A. Phillips and C.R. Fuller · September 2000
  29. Method for Determining and Reproducing Noise Inducing Vibrations in a Multi-Component AssemblyUS 6,101,882 · with V. Tran, B. Covitz, G. Boes, K. Hsueh, A. Phillips and C.R. Fuller · August 2000

Articles & preprints 16

  1. A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped ConvolutionsJ. Solomon and F. Charette · arXiv:2011.07948v1 · November 2020
  2. Hierarchical Sequence to Sequence Voice Conversion with Limited DataP. 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 DrivingJ. Solomon and F. Charette · arXiv:1902.03466v2 · February 2019
  4. The Impact of Microphone Location and Beamforming on In-Vehicle Speech RecognitionS. 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 MixingJ. 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 AutomobileS. 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 AbsorbersJ.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 SystemF. 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 CableS. 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 SensorF. 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 PlateF. 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 SensorC. Guigou, A. Berry, F. Charette and J. Nicolas · Acta Acustica, 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 EffectsG. Plantier, C. Guigou, J. Nicolas, J.B. Piaud and F. Charette · Acta Acustica 3, p. 135–151 · 1995
  14. Active Control of Planar Structures Volume Displacement using Piezoelectric TransducersF. Charette · PhD thesis (French) · 1995
  15. Asymmetric Actuation and Sensing of a Beam using Piezoelectric MaterialsF. 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 BendingF. Charette · MS thesis (French) · 1992

Technical reports 20 · Ford Corporate Library

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

Conferences 24

  1. One-Shot Learning for Autonomous VehiclesF. Charette, Z. Zhou and M. Cui · 2020 AI & Machine Learning Conference, virtual · 9–10 December 2020
  2. A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped ConvolutionsF. Charette and J. Solomon · 2020 AI & Machine Learning Conference, virtual · 9–10 December 2020
  3. Key-Value Retrieval Networks for Task-Oriented DialogueM. Eric, L. Krishnan, F. Charette and C. Manning · Proceedings of SIGDIAL 2017, p. 37–49, Saarbrücken, Germany · 15–17 August 2017
  4. The Impact of Microphone Location and Beamforming on In-Vehicle Speech RecognitionS. 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 MixingJ. 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 RecognitionF. Charette, J. Huber, S. Amman and G. Puskorius · 7th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, San Francisco, CA · October 2015
  7. Signal Processing for Noise, Vibration and Harshness (NVH) ApplicationsF. Charette, S. Venkatappa and M. Maskill · 69th ACFAS Conference, invited speaker, Sherbrooke, Canada · 14–17 May 2001
  8. Squeaks and Rattles Automated Measurements at Assembly PlantsF. Charette, S. Venkatappa, R. Hooker and M. Maskill · 2000 Ford Motor Company Noise, Vibration and Harshness Conference, Dearborn, MI · 5–6 December 2000
  9. Idle Vibration Objective Monitoring System for Assembly PlantsS. Venkatappa, F. Charette, R. Hooker and M. Maskill · 2000 Ford Motor Company Noise, Vibration and Harshness Conference, Dearborn, MI · 5–6 December 2000
  10. Adaptive Vibration Absorbers for Control of Sound Radiation from PanelsF. Charette, C.R. Fuller and J.P. Carneal · 1997 AIAA/CEAS Aeroacoustics Conference, Atlanta, GA · 12–15 May 1997
  11. Control of Structural Sound Radiation using Multiple Detuned Vibration AbsorbersR.I. Wright, F. Charette and C.R. Fuller · 133rd Meeting of the Acoustical Society of America, Penn State University, PA · June 1997
  12. Test of a Piezoceramic Actuator for the Active Control of Power Transformer VibrationP. Michaud, A. Berry, P. Masson and F. Charette · 133rd Meeting of the Acoustical Society of America, Penn State University, PA · June 1997
  13. Control of Sound Radiation from Panels using Multiple Globally Detuned Vibration AbsorbersC.R. Fuller, J.P. Carneal and F. Charette · 3rd Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, HI · 28 November – 2 December 1997
  14. Active Enhancement of the Transmission Loss of a Panel via Minimization of the Volume Velocity: Theoretical and Experimental ResultsM. Ruiz, A. Berry, F. Charette and C. Guigou · Acoustics Week in Canada (Canadian Acoustical Association), Quebec City, Canada · 9–12 October 1995
  15. Active Control of Plate Volume Displacement: Simulation and Experimental ResultsF. Charette, A. Berry and C. Guigou · Acoustics Week in Canada (Canadian Acoustical Association), Quebec City, Canada · 9–12 October 1995
  16. Volume Velocity Sensors for PlatesA. Berry, F. Charette and C. Guigou · A.S.M.E. International Mechanical Engineering Congress, San Francisco, CA · 12–17 November 1995
  17. Active Control of Plate Volume Displacement using Shaped Strips of PVDF Film as SensorF. Charette, A. Berry and C. Guigou · 1995 International Symposium on Active Control of Sound and Vibration (Active95), Newport Beach, CA · 6–8 July 1995
  18. Active Control of Sound by Minimization of Volume Velocity on Finite BeamC. Guigou, F. Charette and A. Berry · Third International Congress on Air- and Structure-Borne Sound and Vibration, Montréal, Canada · 13–15 June 1994
  19. Active Control of Plate Volume Velocity using Shaped PVDF SensorsF. Charette, A. Berry and C. Guigou · Adaptive Structures and Material Systems Symposium, 1994 A.S.M.E. Winter Annual Meeting, Chicago, IL · 7–11 November 1994
  20. Active Control of Structural Volume Velocity using Shaped PVDF SensorsF. Charette, A. Berry and C. Guigou · 128th Meeting of the Acoustical Society of America, Austin, TX · 28 November – 2 December 1994
  21. Active Control of Plate Volume Velocity using Shaped PVDF SensorsC. Guigou, A. Berry and F. Charette · 127th Meeting of the Acoustical Society of America, Cambridge, MA · 6–10 June 1994
  22. Contrôle actif du bruit par minimisation du débit volumique de structure : analyse et expérienceA. Berry, C. Guigou et F. Charette · Third French Conference on Acoustics, Société Française d'Acoustique, Toulouse, France · 2–6 mai 1994
  23. Asymmetric Actuation and Sensing of a Beam using Piezoelectric MaterialsF. Charette, C. Guigou and A. Berry · 125th Meeting of the Acoustical Society of America, Ottawa, Canada · 17–21 May 1993
  24. Asymmetric Piezoelectric Actuation and Sensing of a BeamF. Charette, G. Plantier, C. Guigou and A. Berry · Second Conference on Recent Advances in Active Control of Sound and Vibration, Blacksburg, VA · 20–24 April 1993

Workshops 11

  1. Quantification of the Impact of Lombard Speech on In-Vehicle Speech RecognitionA. Hassani, S. Amman and F. Charette · 7th Biennial DSP for In-Vehicle Systems and Safety Workshop, Berkeley, CA · 13–16 October 2015
  2. Speech Recognition Robustness Studies at Ford Motor CompanyF. Charette, J. Huber and B. Richardson · SANE 2014 — Speech and Audio in the Northeast Workshop, MIT, Cambridge, MA · 23 October 2014
  3. Reduction of Flow Noise in an Airplane Cockpit using an Active Trim PanelF. Charette and C.R. Fuller · 1998 NASA Interior Noise Workshop, Fort Monroe, Hampton, VA · 17–19 February 1998
  4. Design and Implementation of Adaptable Tuned Vibration Absorbers for Control of Sound RadiationR. Wright, F. Charette and C.R. Fuller · 1998 NASA Interior Noise Workshop, Fort Monroe, Hampton, VA · 17–19 February 1998
  5. Active Control of a Cockpit Trim PanelF. Charette and C.R. Fuller · Project review, 'Structural acoustics characteristics of aircraft and active control of interior noise', NASA Langley Research Center, Hampton, VA · 15 October 1997
  6. LabVIEW-Based Interfaces for DSP BoardsF. Charette, M. Wenzel and C.R. Fuller · Project review, 'Structural acoustics characteristics of aircraft and active control of interior noise', NASA Langley Research Center, Hampton, VA · 15 October 1997
  7. Design and Implementation of Mechanical and Solid State Adaptable Tuned Vibration Absorbers for Control of Sound RadiationR. Wright, F. Charette and C.R. Fuller · Project review, 'Structural acoustics characteristics of aircraft and active control of interior noise', NASA Langley Research Center, Hampton, VA · 15 October 1997
  8. Noise Source Separation System using the LMS AlgorithmF. Charette, C.R. Fuller and J. Maillard · Advanced Engineering Center, Ford Motor Company, Dearborn, MI · 21 July 1997
  9. Adaptively Tuned/Detuned Vibration Absorbers for Control of Sound Radiation from StructuresF. Charette, C.R. Fuller and J.P. Carneal · 1996 NASA Interior Noise Workshop, Langley Research Center, Hampton, VA · 10–12 September 1996
  10. Adaptive Tuned Vibration Absorbers for Sound MinimizationF. Charette, J.P. Carneal and C.R. Fuller · ONR project review, Virginia Tech · August 1996
  11. Short Survey of the Current Projects Related to Active Control of Sound in Aircraft at VALF. Charette and C.R. Fuller · Interior Noise Control Workshop, Lord Corporation, Cary, NC · 11 April 1996