François Germain

François Germain
  • Biography

    During his graduate studies, François worked on advancing the state of the art in efficient modelling of analog audio systems. Concurrently, he made important contributions to audio signal processing and spatial audio rendering during internships at Adobe Research, Dolby Laboratories and Intel Labs. Before joining MERL, he led research on music source separation and speech enhancement at iZotope. His research interests focus on efficient and robust signal processing and machine learning methods applied to speech, music, and audio content in general.

  • Recent News & Events

    •  EVENT    MERL Contributes to ICASSP 2024
      Date: Sunday, April 14, 2024 - Friday, April 19, 2024
      Location: Seoul, South Korea
      MERL Contacts: Petros T. Boufounos; François Germain; Chiori Hori; Sameer Khurana; Toshiaki Koike-Akino; Jonathan Le Roux; Hassan Mansour; Kieran Parsons; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern; Ryoma Yataka
      Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Robotics, Signal Processing, Speech & Audio
      Brief
      • MERL has made numerous contributions to both the organization and technical program of ICASSP 2024, which is being held in Seoul, Korea from April 14-19, 2024.

        Sponsorship and Awards

        MERL is proud to be a Bronze Patron of the conference and will participate in the student job fair on Thursday, April 18. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.

        MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Stéphane G. Mallat, the recipient of the 2024 IEEE Fourier Award for Signal Processing, and Prof. Keiichi Tokuda, the recipient of the 2024 IEEE James L. Flanagan Speech and Audio Processing Award.

        Jonathan Le Roux, MERL Speech and Audio Senior Team Leader, will also be recognized during the Awards Ceremony for his recent elevation to IEEE Fellow.

        Technical Program

        MERL will present 13 papers in the main conference on a wide range of topics including automated audio captioning, speech separation, audio generative models, speech and sound synthesis, spatial audio reproduction, multimodal indoor monitoring, radar imaging, depth estimation, physics-informed machine learning, and integrated sensing and communications (ISAC). Three workshop papers have also been accepted for presentation on audio-visual speaker diarization, music source separation, and music generative models.

        Perry Wang is the co-organizer of the Workshop on Signal Processing and Machine Learning Advances in Automotive Radars (SPLAR), held on Sunday, April 14. It features keynote talks from leaders in both academia and industry, peer-reviewed workshop papers, and lightning talks from ICASSP regular tracks on signal processing and machine learning for automotive radar and, more generally, radar perception.

        Gordon Wichern will present an invited keynote talk on analyzing and interpreting audio deep learning models at the Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA), held on Monday, April 15. He will also appear in a panel discussion on interpretable audio AI at the workshop.

        Perry Wang also co-organizes a two-part special session on Next-Generation Wi-Fi Sensing (SS-L9 and SS-L13) which will be held on Thursday afternoon, April 18. The special session includes papers on PHY-layer oriented signal processing and data-driven deep learning advances, and supports upcoming 802.11bf WLAN Sensing Standardization activities.

        Petros Boufounos is participating as a mentor in ICASSP’s Micro-Mentoring Experience Program (MiME).

        About ICASSP

        ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 3000 participants.
    •  
    •  EVENT    MERL Contributes to ICASSP 2023
      Date: Sunday, June 4, 2023 - Saturday, June 10, 2023
      Location: Rhodes Island, Greece
      MERL Contacts: Petros T. Boufounos; François Germain; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Suhas Lohit; Yanting Ma; Hassan Mansour; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
      Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Speech & Audio
      Brief
      • MERL has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.

        Organization

        Petros Boufounos is serving as General Co-Chair of the conference this year, where he has been involved in all aspects of conference planning and execution.

        Perry Wang is the organizer of a special session on Radar-Assisted Perception (RAP), which will be held on Wednesday, June 7. The session will feature talks on signal processing and deep learning for radar perception, pose estimation, and mutual interference mitigation with speakers from both academia (Carnegie Mellon University, Virginia Tech, University of Illinois Urbana-Champaign) and industry (Mitsubishi Electric, Bosch, Waveye).

        Anthony Vetro is the co-organizer of the Workshop on Signal Processing for Autonomous Systems (SPAS), which will be held on Monday, June 5, and feature invited talks from leaders in both academia and industry on timely topics related to autonomous systems.

        Sponsorship

        MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, June 8. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.

        MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Rabab Ward, the recipient of the 2023 IEEE Fourier Award for Signal Processing, and Prof. Alexander Waibel, the recipient of the 2023 IEEE James L. Flanagan Speech and Audio Processing Award.

        Technical Program

        MERL is presenting 13 papers in the main conference on a wide range of topics including source separation and speech enhancement, radar imaging, depth estimation, motor fault detection, time series recovery, and point clouds. One workshop paper has also been accepted for presentation on self-supervised music source separation.

        Perry Wang has been invited to give a keynote talk on Wi-Fi sensing and related standards activities at the Workshop on Integrated Sensing and Communications (ISAC), which will be held on Sunday, June 4.

        Additionally, Anthony Vetro will present a Perspective Talk on Physics-Grounded Machine Learning, which is scheduled for Thursday, June 8.

        About ICASSP

        ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
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  • Awards

    •  AWARD    MERL team wins the Audio-Visual Speech Enhancement (AVSE) 2023 Challenge
      Date: December 16, 2023
      Awarded to: Zexu Pan, Gordon Wichern, Yoshiki Masuyama, Francois Germain, Sameer Khurana, Chiori Hori, and Jonathan Le Roux
      MERL Contacts: François Germain; Chiori Hori; Sameer Khurana; Jonathan Le Roux; Gordon Wichern
      Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
      Brief
      • MERL's Speech & Audio team ranked 1st out of 12 teams in the 2nd COG-MHEAR Audio-Visual Speech Enhancement Challenge (AVSE). The team was led by Zexu Pan, and also included Gordon Wichern, Yoshiki Masuyama, Francois Germain, Sameer Khurana, Chiori Hori, and Jonathan Le Roux.

        The AVSE challenge aims to design better speech enhancement systems by harnessing the visual aspects of speech (such as lip movements and gestures) in a manner similar to the brain’s multi-modal integration strategies. MERL’s system was a scenario-aware audio-visual TF-GridNet, that incorporates the face recording of a target speaker as a conditioning factor and also recognizes whether the predominant interference signal is speech or background noise. In addition to outperforming all competing systems in terms of objective metrics by a wide margin, in a listening test, MERL’s model achieved the best overall word intelligibility score of 84.54%, compared to 57.56% for the baseline and 80.41% for the next best team. The Fisher’s least significant difference (LSD) was 2.14%, indicating that our model offered statistically significant speech intelligibility improvements compared to all other systems.
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    •  AWARD    Joint CMU-MERL team wins DCASE2023 Challenge on Automated Audio Captioning
      Date: June 1, 2023
      Awarded to: Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, Francois Germain, Jonathan Le Roux, Shinji Watanabe
      MERL Contacts: François Germain; Jonathan Le Roux; Gordon Wichern
      Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
      Brief
      • A joint team consisting of members of CMU Professor and MERL Alumn Shinji Watanabe's WavLab and members of MERL's Speech & Audio team ranked 1st out of 11 teams in the DCASE2023 Challenge's Task 6A "Automated Audio Captioning". The team was led by student Shih-Lun Wu and also featured Ph.D. candidate Xuankai Chang, Postdoctoral research associate Jee-weon Jung, Prof. Shinji Watanabe, and MERL researchers Gordon Wichern, Francois Germain, and Jonathan Le Roux.

        The IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE Challenge), started in 2013, has been organized yearly since 2016, and gathers challenges on multiple tasks related to the detection, analysis, and generation of sound events. This year, the DCASE2023 Challenge received over 428 submissions from 123 teams across seven tasks.

        The CMU-MERL team competed in the Task 6A track, Automated Audio Captioning, which aims at generating informative descriptions for various sounds from nature and/or human activities. The team's system made strong use of large pretrained models, namely a BEATs transformer as part of the audio encoder stack, an Instructor Transformer encoding ground-truth captions to derive an audio-text contrastive loss on the audio encoder, and ChatGPT to produce caption mix-ups (i.e., grammatical and compact combinations of two captions) which, together with the corresponding audio mixtures, increase not only the amount but also the complexity and diversity of the training data. The team's best submission obtained a SPIDEr-FL score of 0.327 on the hidden test set, largely outperforming the 2nd best team's 0.315.
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  • Research Highlights

  • MERL Publications

    •  Pan, Z., Wichern, G., Germain, F.G., Subramanian, A., Le Roux, J., "Late Audio-Visual Fusion for In-The-Wild Speaker Diarization", Hands-free Speech Communication and Microphone Arrays (HSCMA), April 2024.
      BibTeX TR2024-029 PDF
      • @inproceedings{Pan2024apr,
      • author = {Pan, Zexu and Wichern, Gordon and Germain, François G and Subramanian, Aswin and Le Roux, Jonathan},
      • title = {Late Audio-Visual Fusion for In-The-Wild Speaker Diarization},
      • booktitle = {Hands-free Speech Communication and Microphone Arrays (HSCMA)},
      • year = 2024,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2024-029}
      • }
    •  Koo, J., Wichern, G., Germain, F.G., Khurana, S., Le Roux, J., "SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers", arXiv, April 2024.
      BibTeX arXiv
      • @article{Koo2024apr2,
      • author = {Koo, Junghyun and Wichern, Gordon and Germain, François G and Khurana, Sameer and Le Roux, Jonathan},
      • title = {SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers},
      • journal = {arXiv},
      • year = 2024,
      • month = apr,
      • url = {https://arxiv.org/abs/2404.02252}
      • }
    •  Koo, J., Wichern, G., Germain, F.G., Khurana, S., Le Roux, J., "Understanding and Controlling Generative Music Transformers by Probing Individual Attention Heads", IEEE ICASSP Satellite Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA), April 2024.
      BibTeX TR2024-032 PDF
      • @inproceedings{Koo2024apr,
      • author = {Koo, Junghyun and Wichern, Gordon and Germain, François G and Khurana, Sameer and Le Roux, Jonathan},
      • title = {Understanding and Controlling Generative Music Transformers by Probing Individual Attention Heads},
      • booktitle = {IEEE ICASSP Satellite Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA)},
      • year = 2024,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2024-032}
      • }
    •  Bralios, D., Wichern, G., Germain, F.G., Pan, Z., Khurana, S., Hori, C., Le Roux, J., "Generation or Replication: Auscultating Audio Latent Diffusion Models", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2024.
      BibTeX TR2024-027 PDF
      • @inproceedings{Bralios2024mar,
      • author = {Bralios, Dimitrios and Wichern, Gordon and Germain, François G and Pan, Zexu and Khurana, Sameer and Hori, Chiori and Le Roux, Jonathan},
      • title = {Generation or Replication: Auscultating Audio Latent Diffusion Models},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2024,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2024-027}
      • }
    •  Jeon, C.-B., Wichern, G., Germain, F.G., Le Roux, J., "Why does music source separation benefit from cacophony?", IEEE ICASSP Satellite Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA), March 2024.
      BibTeX TR2024-030 PDF Video
      • @inproceedings{Jeon2024mar,
      • author = {Jeon, Chang-Bin and Wichern, Gordon and Germain, François G and Le Roux, Jonathan},
      • title = {Why does music source separation benefit from cacophony?},
      • booktitle = {IEEE ICASSP Satellite Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA)},
      • year = 2024,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2024-030}
      • }
    See All MERL Publications for François
  • Other Publications

    •  François G. Germain, "Periodic Analysis of Nonlinear Virtual Analog Models", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2021, pp. 321-325.
      BibTeX
      • @Inproceedings{Germain:PeriodicAnalysisNonlinear:2021,
      • author = {Germain, Fran\c{c}ois G.},
      • title = {Periodic Analysis of Nonlinear Virtual Analog Models},
      • booktitle = {{IEEE} Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
      • year = 2021,
      • pages = {321--325},
      • month = oct
      • }
    •  François G. Germain, "Practical Virtual Analog Modeling Using Möbius Transforms", International Conference on Digital Audio Effects (DAFx), September 2021, pp. 49-56.
      BibTeX
      • @Inproceedings{Germain:PracticalVirtualAnalog:2021,
      • author = {Germain, Fran\c{c}ois G.},
      • title = {Practical Virtual Analog Modeling Using Möbius Transforms},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2021,
      • pages = {49--56},
      • month = sep
      • }
    •  Kurt James Werner, Francois G. Germain and Cory S. Goldsmith, "Energy-preserving Time-varying Schroeder Allpass Filters and Multichannel Extensions", Journal of the Audio Engineering Society (AES), Vol. 69, No. 7/8, pp. 465-485, 2021.
      BibTeX
      • @Article{WernerGermainGoldsmith:EnergypreservingTime:2021,
      • author = {Werner, Kurt James and Germain, Francois G. and Goldsmith, Cory S.},
      • title = {Energy-preserving Time-varying Schroeder Allpass Filters and Multichannel Extensions},
      • journal = {Journal of the Audio Engineering Society (AES)},
      • year = 2021,
      • volume = 69,
      • number = {7/8},
      • pages = {465--485}
      • }
    •  François G. Germain, "Non-oversampled Physical Modeling for Virtual Analog Simulations", 2019, Stanford University.
      BibTeX
      • @Phdthesis{Germain:NonoversampledPhysical:2019,
      • author = {Germain, Fran\c{c}ois G.},
      • title = {Non-oversampled Physical Modeling for Virtual Analog Simulations},
      • school = {{S}tanford University},
      • year = 2019
      • }
    •  Francois G. Germain, Qifeng Chen and Vladlen Koltun, "Speech Denoising with Deep Feature Losses", INTERSPEECH Conference, September 2018, pp. 2723-2727.
      BibTeX
      • @Inproceedings{GermainChenKoltun:SpeechDenoisingDeep:2018,
      • author = {Germain, Francois G. and Chen, Qifeng and Koltun, Vladlen},
      • title = {Speech Denoising with Deep Feature Losses},
      • booktitle = {{INTERSPEECH} Conference},
      • year = 2018,
      • pages = {2723--2727},
      • month = sep
      • }
    •  François G. Germain and Kurt James Werner, "Optimizing Differentiated Discretization for Audio Circuits beyond Driving Point Transfer Functions", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2017, pp. 384-388.
      BibTeX
      • @Inproceedings{GermainWerner:OptimizingDifferentiatedDiscretization:2017,
      • author = {Germain, Fran\c{c}ois G. and Werner, Kurt James},
      • title = {Optimizing Differentiated Discretization for Audio Circuits beyond Driving Point Transfer Functions},
      • booktitle = {{IEEE} Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
      • year = 2017,
      • pages = {384--388},
      • month = oct
      • }
    •  François G. Germain, "Fixed-rate Modeling of Audio Lumped Systems: A Comparison between Trapezoidal and Implicit Midpoint Methods", International Conference on Digital Audio Effects (DAFx), September 2017, pp. 168-75.
      BibTeX
      • @Inproceedings{Germain:FixedrateModeling:2017,
      • author = {Germain, Fran\c{c}ois G.},
      • title = {Fixed-rate Modeling of Audio Lumped Systems: A Comparison between Trapezoidal and Implicit Midpoint Methods},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2017,
      • pages = {168--75},
      • month = sep
      • }
    •  Michael Jørgen Olsen, Kurt James Werner and François G. Germain, "Network Variable Preserving Step-size Control in Wave Digital Filters", International Conference on Digital Audio Effects (DAFx), September 2017, pp. 200-207.
      BibTeX
      • @Inproceedings{OlsenWernerGermain:NetworkVariablePreserving:2017,
      • author = {Olsen, Michael J{\o}rgen and Werner, Kurt James and Germain, Fran{\c{c}}ois G.},
      • title = {Network Variable Preserving Step-size Control in Wave Digital Filters},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2017,
      • pages = {200--207},
      • month = sep
      • }
    •  François G. Germain and Kurt James Werner, "Joint Parameter Optimization of Differentiated Discretization Schemes for Audio Circuits", Audio Engineering Society (AES) Convention, May 2017.
      BibTeX
      • @Inproceedings{GermainWerner:JointParameterOptimization:2017,
      • author = {Germain, Fran\c{c}ois G. and Werner, Kurt James},
      • title = {Joint Parameter Optimization of Differentiated Discretization Schemes for Audio Circuits},
      • booktitle = {Audio Engineering Society (AES) Convention},
      • year = 2017,
      • month = may
      • }
    •  Kurt James Werner, W. Ross Dunkel and François G. Germain, "A Computational Model of the Hammond Organ Vibrato/chorus Using Wave Digital Filters", International Conference on Digital Audio Effects (DAFx), September 2016, pp. 271-278.
      BibTeX
      • @Inproceedings{WernerDunkelGermain:ComputationalModelHammond:2016,
      • author = {Werner, Kurt James and Dunkel, W. Ross and Germain, Fran{\c{c}}ois G.},
      • title = {A Computational Model of the Hammond Organ Vibrato/chorus Using Wave Digital Filters},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2016,
      • pages = {271--278},
      • month = sep
      • }
    •  François G. Germain, Gautham J. Mysore and Takako Fujioka, "Equalization Matching of Speech Recordings in Real-world Environments", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2016, pp. 609-613.
      BibTeX
      • @Inproceedings{GermainMysoreFujioka:EqualizationMatchingSpeech:2016,
      • author = {Germain, Fran\c{c}ois G. and Mysore, Gautham J. and Fujioka, Takako},
      • title = {Equalization Matching of Speech Recordings in Real-world Environments},
      • booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      • year = 2016,
      • pages = {609--613},
      • month = mar
      • }
    •  Kurt James Werner and François Georges Germain, "Sinusoidal Parameter Estimation Using Quadratic Interpolation around Power-scaled Magnitude Spectrum Peaks", Applied Sciences, Vol. 6, No. 10, pp. 306, 2016.
      BibTeX
      • @Article{WernerGermain:SinusoidalParameterEstimation:2016,
      • author = {Werner, Kurt James and Germain, Fran{\c{c}}ois Georges},
      • title = {Sinusoidal Parameter Estimation Using Quadratic Interpolation around Power-scaled Magnitude Spectrum Peaks},
      • journal = {Applied Sciences},
      • year = 2016,
      • volume = 6,
      • number = 10,
      • pages = 306,
      • publisher = {MDPI}
      • }
    •  François G. Germain and Kurt James Werner, "Design Principles for Lumped Model Discretization Using Möbius Transforms", International Conference on Digital Audio Effects (DAFx), December 2015, pp. 371-378.
      BibTeX
      • @Inproceedings{GermainWerner:DesignPrinciplesLumped:2015,
      • author = {Germain, Fran\c{c}ois G. and Werner, Kurt James},
      • title = {Design Principles for Lumped Model Discretization Using Möbius Transforms},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2015,
      • pages = {371--378},
      • month = dec
      • }
    •  François G. Germain and Gautham J. Mysore, "Speaker and Noise Independent Online Single-channel Speech Enhancement", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2015, pp. 71-75.
      BibTeX
      • @Inproceedings{GermainMysore:SpeakerNoiseIndependent:2015,
      • author = {Germain, Fran{\c{c}}ois G. and Mysore, Gautham J.},
      • title = {Speaker and Noise Independent Online Single-channel Speech Enhancement},
      • booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      • year = 2015,
      • pages = {71--75},
      • month = apr
      • }
    •  Francois G. Germain, Iretiayo A. Akinola, Qiyuan Tian, Steven P. Lansel and Brian A. Wandell, "Efficient Illuminant Correction in the Local, Linear, Learned (L3) Method", Digital Photography XI, February 2015, vol. 9404, pp. 24-30.
      BibTeX
      • @Inproceedings{GermainAkinolaTianEtAl:EfficientIlluminantCorrection:2015,
      • author = {Germain, Francois G. and Akinola, Iretiayo A. and Tian, Qiyuan and Lansel, Steven P. and Wandell, Brian A.},
      • title = {Efficient Illuminant Correction in the Local, Linear, Learned (L3) Method},
      • booktitle = {Digital Photography XI},
      • year = 2015,
      • volume = 9404,
      • pages = {24--30},
      • month = feb
      • }
    •  François G. Germain and Gautham J. Mysore, "Stopping Criteria for Non-negative Matrix Factorization Based Supervised and Semi-supervised Source Separation", IEEE Signal Processing Letters, Vol. 21, No. 10, pp. 1284-1288, 2014.
      BibTeX
      • @Article{GermainMysore:StoppingCriteriaNon:2014,
      • author = {Germain, Fran\c{c}ois G. and Mysore, Gautham J.},
      • title = {Stopping Criteria for Non-negative Matrix Factorization Based Supervised and Semi-supervised Source Separation},
      • journal = {{IEEE} Signal Processing Letters},
      • year = 2014,
      • volume = 21,
      • number = 10,
      • pages = {1284--1288},
      • publisher = {IEEE}
      • }
    •  Zafar Rafii, François G. Germain, Dennis L. Sun and Gautham J. Mysore, "Combining Modeling of Singing Voice and Background Music for Automatic Separation of Musical Mixtures", Internation Society for Music Information Retrieval (ISMIR) Conference, November 2013, pp. 41-46.
      BibTeX
      • @Inproceedings{RafiiGermainSunEtAl:CombiningModelingSinging:2013,
      • author = {Rafii, Zafar and Germain, Fran{\c{c}}ois G. and Sun, Dennis L. and Mysore, Gautham J.},
      • title = {Combining Modeling of Singing Voice and Background Music for Automatic Separation of Musical Mixtures},
      • booktitle = {Internation Society for Music Information Retrieval (ISMIR) Conference},
      • year = 2013,
      • pages = {41--46},
      • month = nov
      • }
    •  François G. Germain, Dennis L. Sun and Gautham J. Mysore, "Speaker and Noise Independent Voice Activity Detection", INTERSPEECH Conference, August 2013, pp. 732-736.
      BibTeX
      • @Inproceedings{GermainSunMysore:SpeakerNoiseIndependent:2013,
      • author = {Germain, François G. and Sun, Dennis L. and Mysore, Gautham J.},
      • title = {Speaker and Noise Independent Voice Activity Detection},
      • booktitle = {{INTERSPEECH} Conference},
      • year = 2013,
      • pages = {732--736},
      • month = aug
      • }
    •  François G. Germain, Jonathan S. Abel, Philippe Depalle and Marcelo M. Wanderley, "Uniform Noise Sequencers for Nonlinear System Identification", International Conference on Digital Audio Effects (DAFx), September 2012, pp. 241-244.
      BibTeX
      • @Inproceedings{GermainAbelDepalleEtAl:UniformNoiseSequencers:2012,
      • author = {Germain, Fran\c{c}ois G. and Abel, Jonathan S. and Depalle, Philippe and Wanderley, Marcelo M.},
      • title = {Uniform Noise Sequencers for Nonlinear System Identification},
      • booktitle = {International Conference on Digital Audio Effects (DAFx)},
      • year = 2012,
      • pages = {241--244},
      • address = {York, United Kingdom},
      • month = sep
      • }
    •  François Georges Germain, "A Nonlinear Analysis Framework for Electronic Synthesizer Circuits", October 2011, McGill University.
      BibTeX
      • @Mastersthesis{Germain:NonlinearAnalysisFramework:2011,
      • author = {Germain, Fran\c{c}ois Georges},
      • title = {A Nonlinear Analysis Framework for Electronic Synthesizer Circuits},
      • school = {McGill University},
      • year = 2011,
      • address = {Montr{\'e}al, Canada},
      • month = oct
      • }
    •  Vincent Freour, Gary P. Scavone, Antoine Lefebvre and François Germain, "Acoustical Properties of the Vocal-tract in Trombone Performance", Forum Acusticum, June 2011, pp. 625-630.
      BibTeX
      • @Inproceedings{FreourScavoneLefebvreEtAl:AcousticalPropertiesVocal:2011,
      • author = {Freour, Vincent and Scavone, Gary P. and Lefebvre, Antoine and Germain, Fran{\c{c}}ois},
      • title = {Acoustical Properties of the Vocal-tract in Trombone Performance},
      • booktitle = {Forum Acusticum},
      • year = 2011,
      • pages = {625--630},
      • month = jun
      • }
    •  François Germain and Gianpaolo Evangelista, "Synthesis of Guitar by Digital Waveguides: Modeling the Plectrum in the Physical Interaction of the Player with the Instrument", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2009, pp. 25-28.
      BibTeX
      • @Inproceedings{GermainEvangelista:SynthesisGuitarDigital:2009,
      • author = {Germain, Fran{\c{c}}ois and Evangelista, Gianpaolo},
      • title = {Synthesis of Guitar by Digital Waveguides: Modeling the Plectrum in the Physical Interaction of the Player with the Instrument},
      • booktitle = {{IEEE} Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
      • year = 2009,
      • pages = {25--28},
      • month = oct
      • }
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